Total 179 data entry job vacancies in Information Technology category in D18 Tampines, Pasir Ris

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other networking gear. Configure and troubleshoot Linux OS-related issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience Data Centers, Linux, Hardware, Networking, OSI Model, Written Communication, Teamwork, Communication.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge in Networking, including topology and protocol understanding.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

NUS IT is the IT department of NUS, we develop solutions that are used by students, staff, as well as other visitors that serve to further NUS education needs and vision.
We are seeking an experienced Data Architect to oversee technical data architecture in NUS.
The role will manage the technical architecture of our data platforms as well the solution architecture of data related solutions. This role will also champion the proper implementation and adherence to best practices across all stages of the data platform delivery lifecycle.
This is a hands-on individual contributor role and the candidate should have recent hands-on development experience.

Duties and Responsibilities

Data Platform Technical Architecture

• ​Create, manage, and document optimal data pipeline architecture.
• ​Understand technical architecture of data related platforms and provide advisory to other teams.
• ​Build the infrastructure required for optimal extraction, transformation, and loading of data from data sources.
• ​Create, manage, and document data pipelines in the data pipeline solution and keep them in line with business needs.

​Data Solutions Architecture

• ​Design the solution for a modern data platform, including aspects like master data management, data lakehouse, data pipelines.
• ​Design best practices for data related implementations.
• ​Define and champion the direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.

Technical Expertise

• ​Stay updated about of emerging technologies and industry trends in order to drive innovation within our organization.

​Organizational Collaboration

• ​Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
• ​Collaborate with engineering teams, fostering a culture of innovation, collaboration, and excellence.
• ​Provide direction and guidance to teams (both inside and outside of NUS IT) on working with the data platform.
• ​Collaborate with university departments on any technical solutioning required to support data platform requirements.

Qualifications

• ​Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• ​Minimum of 8 years of experience with a focus on data platforms architecture and engineering.
• ​Proven ability to work with cross-functional teams, promoting collaboration and achieving the objectives of programme and initiatives.
• ​Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk mitigation.
• ​Demonstrated strategic thinking and planning abilities, capable of aligning technical projects with organizational goals and market demands.
• ​Relevant experience in designing, developing, and supporting data platforms, having successfully completed projects in data projects delivery.
• ​Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• ​Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

​Technical Expertise

• ​Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Working experience in Azure cloud.
• ​Strong working experience in Azure Fabric – specifically Data Factory, Data Engineering, OneLake (Data Lake Storage) and Data Warehouse.
• Good working experience knowledge of master data management.
• ​Working experience in big data and DataSecOps is an added advantage.
• ​Experience in MS SQL and Oracle, including querying and tuning large, complex data sets and performance analysis is preferred.

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

DC Environment Support

• Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers.
• Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);
• Cooling Infrastructure (such as computer room air-conditioning units);
• Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);
• Environment monitoring system (such as humidity and temperature); and
• Water leakage detection.
• Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.
• The Vendor shall inform the Customer within one (1) hour when problems are detected.
• Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

• Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.
• Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.
• Shall ensure the network cabling in the data centre and within the racks are neat and tidy.
• Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.
• Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.
• Shall obtain the Customer’s approval before finalizing the plan for any activity.
• Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.
• Shall maintain up-to-date documentation of the data centre design layouts.
• Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.
• Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer

Requirements:

• Preferably Three (3) years of working experience in Data Centre Engineer Operations experience
• ITIL v4 Foundation Certification or equivalent

Get to Know the Team

As an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

As Senior Data Scientist, you will build models and services that manage millions of requests daily and develop predictive models to improve dispatch decisions according to market conditions. You will report to the Senior Engineering Manager. This role is based onsite in Singapore.

The Critical Tasks You Will Perform

• Design and fine-tune the systems using machine learning algorithms based on the product requirement. You will choose appropriate algorithms, preparing and cleaning data, training and testing models, and optimising their performance.
• Design and implement A/B test. Generating training datasets for ML models and collecting feedback from the A/B experiments.
• Lead the CI/CD deployment pipelines.
• Develop data related APIs for application integration.
• Collaborate with other team members and engineers.

Qualifications

What Essential Skills You Will Need

• At least 3 years of industrial data science experience, with expertise in machine learning and statistical modelling.
• Programming skills in languages such as Python, Java and R.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorchetc.
• The knows how to and loves to build recommendation models
• The ability to write production ready code
• Experience with statistical concepts and machine learning algorithms.
• Experience with data wrangling, cleaning, and analysis.

Get to Know the Team

When you’re an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

We are looking for individuals with experience working within distributed environments to join our big data engineering group. You will report to the Senior Engineering Manager and be based onsite in Singapore. You will automate multiple big data flows, performance engineering, and building the internal big data pipeline platform to maintain the quality of our critical data. We offer the opportunity to work with a world-class engineering team managing petabytes of data in Southeast Asia.

The Critical Tasks You Will Perform

• Design the data warehouse schema in Bigquery and also be able to write code to process data from heterogeneous sources like APIs, PubSub, Transactional Databases.
• Lead, design, develop and manage data pipelines on the data ecosystem.
• Be hands on development in designing and developing ETL/ELT processes to ingest data into the data warehouse with focus on data quality and profiling.
• Participate in collaborations in external and team members and build SLAs.
• Take ownership of not just the Data Platform but also building the right
• Practise to lead the way forward for the team.
• Collaborate across teams and translate the requirements into actual workable
• Technical solutions.
• Ensure data quality and governance and participate in code reviews with focus on high quality technical documentation.

Qualifications

What Essential Skills You Will Need

• Bachelors/Masters in mathematics, computer science or other related quantitative discipline.
• 5+ years experience in data engineering roles.
• Familiarity with Hadoop, Hive, HBase, Spark, Flink, Airflow, Kafka, and Cloud software such as
• Redshift, EMR, BigQuery, Dataflow, Cloud Composer, BigTable, PubSub etc.
• Exposure to big data solutions from various data sources such as AWS, GCP, Microsoft Azure, Alibaba Cloud.
• Familiar with CI/CD and automating the deployments from dev to staging to production
• platforms.
• Experience with Data Warehouse concepts - Fact/Dimension Tables, CDC, SCD,
• partitioning and bucketing strategies.
• Proficient in writing complex SQLs, and experience in at least anyone of Java/Python/Golang.
• Experience in Metadata management, data discovery and creating data lineages.
• High personal code/development standards (peer testing, unit testing, documentation, etc).

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

· Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

· Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

· Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

· Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

· Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

· Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

· Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

Requirements:

· Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

· Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

· Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

· Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

· Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

· Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

· Excellent written and verbal communication skills.

· Strong analytical skills, attention to detail, and problem-solving abilities.

· Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

· An inquisitive mindset, coupled with a desire for continuous learning and growth.

Get to Know the Team

The ACE (Deliveries, OmniCommerce) Analytics team is the analytics and data powerhouse behind Grab's fastest-growing segments: GrabFood, GrabMart, GrabExpress and OmniCommerce. Here, innovation meets action. We're not just a team; we're trailblazers, committed to solving the most pressing challenges for our consumers, driver-partners, and merchant-partners leveraging data. From revolutionizing the consumer order experience to enhancing platform reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

This role is focused on leading analytical thinking for Chope, our most recent acquisition in the OmniCommerce space. Chope provides a suite of solutions for both consumers and merchants to manage their in-store dining. You will report to the Senior Analytics Manager, OmniCommerce and you'll have the unique opportunity to collaborate across disciplines (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

The Critical Tasks You Will Perform

• You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Qualifications

What Essential Skills You Will Need

• You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce, Retail Marketing Analytics, etc.
• You have the ability to help solve complex problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice
• You are able influence across your team and cross-functional teams. You should also be able to effectively convince senior stakeholders.
• You have exceptional skills in data visualization and storytelling. You should be adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
• You are fluent in SQL, Python, R, or other scripting/programming languages, you're a problem-solver at heart. Your comfort with very large datasets and complex ETL processes sets you apart.

Primary Purpose

Reporting to the Senior Manager, Supply Chain SMO/COE, the Master Data Quality & Governance Manager plays a vital role in ensuring the accuracy and integrity of master data and will be responsible for overseeing and implementing data governance strategies, policies, practices, and processes across the Asia Pacific region. This role is also responsible for collaborating with APAC business stakeholders to understand their data needs and requirements and ensuring data quality standards, processes and procedures align with business objectives, and providing training and support to business stakeholders on data quality best practices.

Develop and Implement Data Governance Framework:

o Design and establish a comprehensive data governance framework across the Asia Pacific region.

o In partnership with Global Data Governance teams define data governance policies, procedures, and standards to ensure consistent and accurate data management practices.

o Collaborate with stakeholders to gain buy-in and support for the data governance initiatives.

Data Stewardship and Ownership:

o Establish data quality rules, monitor data compliance, and resolve data-related issues.

o Ensure data ownership and accountability by establishing data governance and execution roles and responsibilities.

o Drive continuous improvement by monitoring data governance performance and identifying opportunities for enhancement.

o Conduct regular data audits and assessments to identify gaps and recommend corrective actions.

o Collaborate with cross-functional teams, including IT, finance, operations, privacy and legal to ensure alignment and compliance with data governance initiatives.

o Engage with global stakeholders to share best practices, leverage synergies, and contribute to the overall data governance strategy.

Training and Awareness:

o Develop training programs and materials to educate employees on data governance policies, procedures, and best practices.

o Raise awareness of the importance of data governance and its impact on business operations and decision-making.

o Provide guidance and support to business units in implementing data governance practices effectively.

o Act as a subject matter expert, providing guidance and support to stakeholders on data governance-related matters.

Inherent Requirements

Formal Qualifications

Bachelor's in information management, computer science, business administration, or a related field.

Key Skills / Core Competencies

• Strategic thinking ability, as well as detailed analytical and problem-solving skills
• Strong communication and relationship building skills to collaborate cross functionally with internal partners and external customers.
• Comfort in managing relationships with senior leadership.
• Strong entrepreneurial, customer service orientation.
• Ability to effectively prioritize, execute tasks and manage deadlines in a high-pressure environment.
• Good written, oral, and interpersonal communication skills.
• An ability to work well in an ambiguous environment with minimum supervision.
• Strong professional presence and business acumen.
• Innovative, proactive, and flexible to change.
• Self-motivation and a strong sense of ownership and accountability
• Exposure to process improvement methodologies with Lean Six sigma Green or Black belt an advantage

Experience

• Proven experience in data governance, data management, or related roles, preferably within a multinational organization operating in the Asia Pacific region.
• In-depth knowledge of data governance frameworks, principles, and best practices.
• Strong understanding of data quality management, data privacy regulations, and data-related compliance requirements.
• Demonstrable experience leading process change
• Superior vendor management experience
• Demonstrable knowledge and experience in SAP, SFDC, M365, BI and data analysis tools.

SPD Scientific offers a comprehensive range of top-notch laboratory consumables, test-kits reagents, biomedical and laboratory equipment, and a host of microbiology culture media and diagnostic products. The company offers myriad benefits to customers in wide ranging industries, such as F&B sector, pharmaceutical, academic and government research institutions, and healthcare, by providing them the essential tools to assist in their medical research and discoveries.

Currently, we are looking for a Data Management Analyst to join our Team with the following responsibilities:

• Master Data Management: Oversee the global master data lifecycle processes, including the creation, validation, and deactivation of data specific to ERP, and CRM systems.
• Develop and enforce data governance policies and procedures maintained in the respective databases.
• Ensure data quality and integrity across the systems.
• Participate in cross-functional collaboration to support business requests.
• Suggest or support process improvements and best practices in relation to Data Management.
• Conduct regular data audits and quality assessments of the databases.
• Provide training and support to staff on data management practices.
• Resolve data-related issues and discrepancies within the systems.
• Maintain documentation for data management processes and policies.
• Able to translate business requirements into data modelling solutions and data infrastructure.
• Responsible for data migration and data standardisations within the organisations.

Qualifications:

• Bachelor’s degree in Information Technology, Business Administration, or other related fields.
• Minimum of 3-5 years of experience in master data management or a similar role.
• Experience in Microsoft SQL Server and possess advanced SQL queries skill.
• Strong understanding of data governance and data quality principles.
• Proficiency in data management tools and software (e.g., MSSQL Server Management Studio, Power BI, and Excel).
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience in using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build out data infrastructure and data pipelines in a secure and privacy compliant manner.
• Work with feature teams to provide reliable data and infrastructure.
• Maintain existing data infrastructure and ensure critical data is available and reliable.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Java, C++).

Preferred qualifications

• Experience working with large data and creating and making available data cubes for other teams.
• Experience in optimizing data processing pipelines and data serving.
• Experience with data analysis and visualization tools (e.g., SQL, Colab).

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

At GXS, we are a digital bank on a mission to make banking better for Singapore’s everyday consumers and small businesses.

We are seeking a visionary leader to head our team of talented and high performing AI professionals, data scientists and MLOps professionals, driving strategic AI initiatives that will help provide innovative financial solutions that are accessible, secure and user friendly. The Head of Artificial Intelligence and Data Science will be responsible for developing and executing the AI and data strategy to support the bank’s business objectives. This role requires a strategic thinker with deep expertise in Generative AI and machine learning. The ideal candidate will have a proven track record of leading high-performing teams, implementing advanced data-driven solutions, and driving innovation in a financial services or tech environment.

Key responsibilities:

• Develop and execute the AI and data science roadmap and strategy aligned with the bank's overall vision and business goals, while articulating the bank-wide value proposition of AI
• Lead and mentor a team of data scientists, GenAI data scientists, and GenAIOps/MLOps engineers to achieve departmental objectives
• Stay abreast of industry trends and advancements in AI and data science to ensure the bank remains at the forefront of innovation and provide thought leadership.
• Oversee and guide the design, development, and deployment of machine learning production models and AI solutions, ensuring the integration of AI and data science initiatives across the business units
• Collaborate with ecosystem partners to understand their data and acquire the optimal datasets for AI and ML solutions.
• Responsible for and has oversight of GenAIOps, which encompasses MLOps, deploying models in production, monitoring model metrics, and managing feature engineering pipelines, with a focus on efficiency, scalability, and meeting SLAs.
• Collaborate with senior stakeholders, business partners and external partners to identify and prioritise AI and data science initiatives that align with business priorities.
• Communicate complex AI and data concepts to non-technical stakeholders, ensuring a clear understanding of potential impacts and benefits to drive culture changes.
• Adopt a product-driven and market-driven mindset to translate technology into business applications.

Qualifications:

• Proven experience in building out AI strategy and implementing an end-to-end roadmap, while managing a team that includes GenAI scientists, data scientists, and GenAIOps/MLOps engineers.
• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Extensive experience in machine learning (supervised, unsupervised and reinforcement learning and deep learning), GenAI, data science and natural language processing.
• Experience in managing senior stakeholders and management, in articulating the value of data to the business.
• Strong experience in showcasing the value of AI solutions
• Product-driven and market-driven mindset, with the ability to translate technology into business applications.
• Entrepreneurial mindset, eager to grow and take on challenges.
• Strong communication and interpersonal skills, with fluency in English and the ability to collaborate in multi-cultural environments.

Job description

You will be part of the Global Partnerships team, which supports the world’s leading publishers and helps drive accelerated business growth for them through our publisher business growth and platform solutions. The Global Partnerships Sales Engine (GPSE) team is a critical part of driving operational efficiency and scale in support of our publisher business growth and platform solutions. The GPSE team centralizes work away from sales teams so that front-line sales leaders can concentrate their efforts on client-specific activities and continue growing a multi-billion dollar global business. The Global Partnership Sales Engine (GPSE) Team is an integral part of creating efficiency and scale in support of our publisher business growth and platform solutions. The GPSE team is designed to accelerate operational activities and centralize work (e.g. operational activities like reporting, implementation and optimization) away from the sales teams so that they can concentrate their efforts on client-specific activities.

Qualifications

Job responsibilities

• Publish and communicate operational metrics/KPIs with some guidance.
• Contribute to creation of or maintenance of SOPs, process maps, workflow documentation, help resources, and relevant training and certification programs.
• Contribute to tracking and analysis for trends of operational characteristics in process or workflow performance and identify opportunities to improve operational procedures with some guidance (e.g., manage utilization, eliminate non-productive activities, create cross-site efficiencies, influence automation and robotics enhancements).
• Work with partner teams (e.g., service provider teams, internal teams) to set and implement process improvements and changes with some guidance. Define and implement workflow efficiency scoring frameworks to proactively and retroactively identify gaps in execution with some guidance.
• Support Sales users via the menu of services covering Optimization and Troubleshooting support. Maintain high service levels through meeting or exceeding CSAT, timeliness and efficiency goals.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in a customer or client-facing role supporting Account Management, Ad Operations or Project Management.

Preferred qualifications

• 2 years of experience building relationships with stakeholders or clients.
• 2 years of experience analyzing data and generating business insights in order to guide business decisions.
• 2 years of experience in managing vendor and outsourced providers.
• Ability to work with systems tools, such as SAP, homegrown systems, etc.
• Demonstrated analytical ( e.g. understand and analyze large data sets and simplify insights), operational efficiency ( e.g. streamline process flow) and stakeholder management ability.

Job Description & Requirements

Responsibilities:

1. Responsible for maintaining our machine learning framework
2. Responsible for the cleaning, processing and analysis of both unstructured and structured texts in the FinTech area
3. Participate in the development and upgrade of our machine learning and data mining algorithms

Requirements:

1. Degree in Computer Science or similar field
2. 1+ years experience in data processing, data analytics or data visualization
3. Proficient in Python programming language
4. Familiar with data analytics libraries like NumPy and Pandas
5. Experience with relational databases (e.g. MySQL) and key-value databases (e.g. Redis)
6. Experience in RESTFul API service development and familiarity with HTTP / TCP
7. Familiarity with Container techniques including Docker and Kubernetes is preferred
8. Strong communication skills in Chinese and English to communicate with associates

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

What you will be doing

• Proactively identify and champion projects to solve complex problems across multiple domains
• Define and create actionable KPIs, production-quality dashboards and provide insights and recommendations
• Align with stakeholders on key metrics, design and propose experimentation strategies
• Communicate learnings effectively and provide recommendations to stakeholders to make key decisions and drive business impact
• Apply specialised skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to generate insights and drive outcomes
• Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes

Who we're looking for

• Possess prior knowledge in Data Manipulation/Wrangling, Analytics, Statistics, Economics or Engineering, Computer Science, Information Systems, or a related technical field
• At least 4 years of experience in data analytics,
• Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to both technical and non-technical stakeholders
• Strong foundation in data query/manipulation using SQL
• Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
• Effective Data Storytelling skills
• Experience with data visualisation using tools like PowerBI, Tableau is a plus
• Domain experience in e-commerce, marketing, SaaS, or the F&B industry is a plus

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

• Familiarity with data visualization tools like Tableau or Power BI.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Qualifications

Job responsibilities

• Operate, maintain, troubleshoot, and repair electrical equipment in a Data Center environment. Provide Root Cause Analysis (RCA), recovery, and prevention actions for service failure.
• Prepare and execute operation procedures, respond to work request/service failure, and provide operational and technical expertise in required areas. Coordinate vendor support in repairs/replacement and support project implementation (site acceptance tests, factory acceptance tests, site inspection for defects, etc.).
• Improve site WUE and PUE, operational efficiency, and minimize environmental impact. Develop a good understanding of the infrastructure design and sequence of operation.
• Prepare and conduct training/sharing to the team. Ensure safety rules and regulations associated with operating infrastructure.

Minimum qualifications

• Associate's degree, trade school certification, verifiable training in a relevant technical field, or equivalent practical experience.
• Experience with electrical, mechanical, and controls systems including: Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units, and CRAC units.
• Experience in troubleshooting.
• Ability to work non-standard, on-call rotation weekend hours.

Preferred qualifications

• Electrical Technician's Licence.
• Experience troubleshooting for electrical systems.
• Knowledge of industrial networking and coordinating with others in order to determine problems and implement solutions.
• Familiar with SCADA, Power monitoring system, building monitoring system, and PLC programming.
• Ability to work in varying outdoor temperature conditions and perform material handling (lifting/shifting) to work on platforms, ladders, and under raised floors.
• Ability to learn quickly and address issues as they arise during normal operations or during emergency conditions and follow the site’s environmental health and safety policies.

Job Duties

• Able to plan and make necessary arrangements for specific jobs given
• To conduct quality checks on work done by workers
• To oversee daily operations at site
• Ensuring that all workers comply with all safety measures required
• Liaise with main contractor and coordinator with regards to all matter pertaining to the project
• Responsible for the upkeep of documentation on project matters
• Submission of daily reports to coordinator and as built drawings upon completion

Job Requirements

• With at least 5 years of relevant site supervision experience especially with RC works, Dwall, canal and road diversions
• Possess required BCSS/Work at Height Assessor / Supervisor certifications
• Lifting Supervisor certificate an advantage
• Registered Earthwork Supervisor certificate an advantage
• Supervise Confined Space Work certificate an advantage
• Have initiative and responsible at work
• Conversant with key plans/technical drawings

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior/ Data & Machine Learning Engineer is a hybrid role focusing on developing our modern Lakehouse including pipeline development, and the deployment of machine learning models.

This position combines the responsibilities of a Data Engineer and Machine Learning Engineer, ensuring robust data pipelines and scalable deployment of ML models.

The role involves building data ingestion and transformation processes, deploying machine learning models, and working with DevOps and CI/CD for automated deployments and monitoring.

Collaborating with Business Analysts to ensure business requirements are translated into data solutions.

Working with Data Analysts to deliver accurate and reliable datasets that power impactful analytics and dashboards.

Partnering with other Data Engineers and Analytics teams (e.g., Quantitative Research team) to support advanced analytics and provide datasets for reporting and insights.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and translate this into technical analytical solutions.

Responsibilities

• Design and maintain data pipelines: Design, build, automate, and optimize ETL/ELT pipelines to support data flow, transformation, and availability across the Lakehouse platform.

• Collaborate on data storage and solutions: Partner with analysts to create scalable storage solutions, optimizing data structures for both analytics and ML applications.

• Implement data quality and governance standards: Establish monitoring and enforce data quality checks, ensuring data consistency, reliability, and compliance.

• Optimize and maintain model performance: Continuously monitor deployed models for performance, retraining or adjusting them as needed to ensure sustained accuracy.

• Deploy and monitor machine learning models: Design and implement CI/CD pipelines for model deployment, ensuring efficient and reliable delivery of ML models.

• Mentor junior team members: Guide and foster the professional development of junior data engineers, enabling their contribution to the team and ownership of project deliveries.

Expertise:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.

• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.

• Data Pipeline Development Skills: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.

• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.

• Python & Model Deployment Proficiency: Expertise in Python for deploying models and developing APIs for serving predictions.

• Spark & Azure Databricks: Skilled in using Spark on Databricks for processing large-scale datasets and supporting machine learning workflows.

Knowledge of:

• CI/CD Pipeline Creation (incl. for ML Models): Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines and machine learning models using GitHub and GitHub Actions with Databricks.

• Monitoring & Model Maintenance: Ability to set up monitoring tools for models, track metrics (accuracy, latency), and maintain model performance.

• IaC for Infrastructure Automation: Experience in automating cloud infrastructure management for consistent deployment and scaling using Infrastructure as Code tools like Terraform.

• Power BI Integration: Basic understanding of Power BI for creating visualizations of model performance and metrics for stakeholders.

• Agile Methodologies in Data Engineering: Understanding of agile frameworks to work within iterative sprints and collaborate with cross-functional teams

Experience:

• At least 3 Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.

• 1 Year in Machine Learning Engineering: Track record in managing the lifecycle of machine learning models, including deployment, monitoring, and retraining.

• Business & Data Transformation: Experience working in supporting business transformation and process improvement into Data-Driven organizations and systems.

• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

Responsibilities

• Responsible for laying the foundations for the acquisition, storage, transformation, and management of data
• Advise on data infrastructure needs while assisting with data-related technical issues
• Review and design relational and multidimensional database structures, relationships, data flows and data interfaces
• Define ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources
• Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
• Review data systems performance and recommend optimization strategies
• Regular reporting and work with business teams on systems performance and progress of implementation and updates for issues resolution

Requirements:

• 3+ Project experience with designing and building highly scalable Extract, Transform, and Load (ETL) processes and concepts
• Working experience & sound knowledge on DAX, Power Query/Power Pivot is a must
• Advanced knowledge and experience in relational databases, SQL.
• Experience in database design and modeling for data warehouse and business intelligence applications, including relational database structures and normal forms
• Able to analyze existing SQL queries for performance improvements
• Analytical skills to monitor performance and identify problems with in the database
• Exceptional communication and presentation skills, both written and verbal
• Detail-oriented and organized with excellent time management skills
• A team player with strong interpersonal skills and the ability to collaborate effectively with diverse teams
• Able to self-manage & assure timely delivery

Qualifications:

• Bachelor's degree in business, computer or related fields
• 3+ years of experience in ETL, data model & Power BI development
• BI certification is a plus
• Conversational Korean language skill is a plus

Please only apply via direct application on this MyCareersFuture website.

Or, email your CV and indicate Job Title as email subject to the following: [email protected]

Only shortlisted candidates will be notified.

• Cloud related Field Data Center Operations.
• Responsible for Capacity planning of Data Center resources and Data Center designing.
• This position requires hands-on technical skills to install compute rack, network and cables.
• Maintain and troubleshoot various hardware and physical network components.
• Perform and/or manage 3rd party vendors for installation of Data Center infrastructure such as rack, power, server, network equipment, cabling and cross-connects.
• Manage inventory and coordinate with suppliers and shipping companies for domestic and international shipments.
• Document, improve and maintain standard operating procedures
• Participate in the change management process
• Initiate and manage RMA processes with equipment vendors.
• Must be able to provide 24/7 on call support for emergency and outages.

Requirements:

• Minimum 8 years of experience in working with Data Center and ISP vendors for coordinating resource provisioning and device installation
• Experience in strong hands-on installation and troubleshooting server and network equipment
• Experience in DC project management
• Experience in asset management, and inventory control
• Experience in dealing with Data Center remote hands and their ticketing system.
• Must have working knowledge of Excel and shared docs and should be able to work with complex spreadsheets
• Experience dealing with customer support and SLAs
• Technical certification involving an IT discipline
• Hard working self-starter who can work with very minimal supervision
• Ability to troubleshoot enterprise level technical problems
• English proficiency , spoken and written
• Broad exposure to technical environments with understanding of hardware, networks, and the cloud infrastructure
• International shipping experience a plus (Up to 20% travel)

Summary

The objective of the role is to lead, architect and manage the technology eco-system of LK Asia Data Platform and integrate with IT Enterprise Architecture along side business controlling that supports the organization’s vision, mission, and strategy.

What you'll do

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Lead and manage staff of data engineers to build, maintain and support the data architecture.

Design and build the DWH database models (star schema).

Design and build efficient data pipelines (ETL) that ensure data quality and integrity.

Manage the BI semantic model, security roles, access rights and row level security filters.

Work with business counterparts as well as IT Business Consulting, Infrastructure teams and external vendors on new data requirements.

Ensure proper maintenance and support of the BI architecture including security roles, deployments, security patching and monitoring to ensure performance and compliance with internal technical and security guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Assist IT management with ad hoc tasks related to BI, reporting and audit as well as other tasks when required.

What you'll need

• 8+ years of experience in IT, preferably with BI Development background and exposure to different BI domains, platforms, and technologies.At least 2 years in staff managing position.Strong knowledge and proven hands-on experience in data warehousing (e.g. ETL design/development, data modelling)Proficiency in Oracle and PostgreSql.Strong analytical thinking, problem-solving capability and business process understanding.Customer-oriented with good communication and interpersonal skills.Good leadership and people management skills.Proactive, self-motivated, hard-working and able to work in a dynamic environment.Good spoken and written communication skills in English

What you'll receive

By designing and implementing scalable, secure, and efficient data solutions that meet the needs of the organization and its users, a holder of the position will gain a deep understanding of the business needs, processes and business applications used as well as have the opportunity to keep up with the changing technologies and trends in the BI & data field through working on various IT projects.

We are dedicated to fostering a family-friendly culture and work environment. We are an equal opportunities employer and welcome applications from all candidates with the required skills and experience. We enable fair pay within the company by creating non-discriminatory salary systems. Working at Lidl & Kaufland Asia is rewarding, in every sense, because we give you the training to succeed in your role and plenty of opportunities to progress your career here. We are accredited as a Fair and Progressive employer by the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP).

Market Leading Remuneration Package:

• Annual wage supplement and discretionary bonus
• Life Insurance
• Medical Insurance

Supportive Environment:

• Out of Office leave for important appointments
• In-house training courses
• Training sponsorship scheme

Work-life Balance:

• 5-day week
• Competitive Annual Leave
• Charity, Community and Sporting Events

If you are not invited for an interview within 4 weeks, we regret that your application was not suited to this vacancy.

For more company information, please feel free to visit: http://www.lidl.asia

Personal data collected will be used for recruitment related purposes only and will be destroyed after 12 months