Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

Google's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future -- everything from underwater cables to physical data center space. As a Strategic Negotiator, you combine your deep market knowledge of a given sector with tech industry savvy to negotiate cost-effective solutions to support Google's infrastructure growth. You'll work with specific project teams on negotiating deals, managing vendor and partner relationships and presenting deal recommendations to our Tech leadership. Your successful negotiations have the potential to save Google millions of dollars in operating costs and impact every part of the business.

Additional job description

The Public Affairs team focuses on telling our story to decision-makers, opinion formers, and data center communities. We are focused on creating inclusive, strategic, and scalable solutions that have authentic and universal impact.

As the Public Affairs Manager for APAC, you will advise on how to shape our data center initiatives in a way that is aligned to state and local government priorities. You will lead the maximization of partner opportunities to partner with state and local institutions and tell the story of our data center commitment.

Qualifications

Job responsibilities

• Provide public policy through leadership, assist in building our workforce development pipeline, and build relationships within Google and externally by networking.
• Manage our economic, sustainability, and social contributions to create connections between technology and modern life.
• Provide region specific business advisory support for economic development agreements, including commercial review of terms, tax implications and infrastructure funding.
• Assist with various economic development and market advocacy team projects including data analytics and data hygiene.
• Collaborate with cross-functional partners including, but not limited to, tax, finance, legal, policy, and communications on a variety of economic development matters.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience working with public policy teams and cross-functional stakeholders.
• Experience with economic development issues such as direct or indirect taxes, tax policy, or infrastructure development.

Preferred qualifications

• Experience in indirect taxes, economic development policy, infrastructure development, agreement drafting, and presentation development. Experience with data center real estate markets.
• Experience developing and executing strategies to deliver exceptional solutions.
• Excellent attention to detail and political/communication skills.
• Ability to identify opportunities and areas for improvement, and operate in a fast-paced environment.
• Ability to think outside the box and propose commercially and technically creative solutions.
• Ability to comfortably work in ambiguous, collaborative, and fast-paced environments.

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.

Purpose:

This position is responsible for analysis and reporting for our ecommerce business, encompassing multiple customer touchpoints across the website, customer care, and digital. This person will play a key role in supporting our ecommerce team, including identifying opportunities for improvement, expanding our analytics capabilities, and delivering actionable insights about the business.

Minimum Eligibility Requirements:

• Bachelor's degree in analytics, business, or a related quantitative field (relevant experience can be substituted for the required education on the basis of one calendar year of experience for one academic year of education)
• 2+ years working in an analytics role, with a focus on digital and/or call optimization preferred
• Demonstrated experience in data extraction/shaping (e.g., SQL), statistical analysis (e.g. R, Python), and data visualization tools (e.g. Power BI, Tableau)

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

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

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

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

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

As an Implementation Engineer at Oracle Opower, you will work with a team to implement SaaS-based energy efficiency and customer engagement programs on behalf of our utility partners. You will collaborate with a diverse group, including a Project Manager, a Senior Implementation Engineer, as well as members of the Product Engineering, Product Management, and QA teams. Setting up new programs for our utility clients is the lifeblood of Opower, and we rely on Implementation Engineer's input and expertise for our overall success.

Our Implementation Engineers rely on a diversified technical skill-set, including: data manipulation via complex SQL queries, experience on the Linux command line, shell scripting, and software development using high-level programming languages such as Java or Ruby. We do not expect you to immediately be masters of the full spectrum of technologies used, but through on the job training and coaching, you will gain the necessary skills required to launch energy efficiency programs for new utility clients.

Responsibilities

● Communicate with the IT resources of the utility company client to explain technical requirements including web integration, single sign-on configuration, and transfer of utility data

● Analyze, transform, and load utility data from the utility clients to meet Oracle Opower’s data standards

● Integrate utility data with additional data from various 3rd party sources to generate a holistic customer profile

● Build and maintain a deep understanding of our products with the ability to explain them to others; think about how client customization and delivery can be sped up and improved

● Configure and customize Oracle Opower’s energy efficiency SaaS platform to meet the specific needs of each client

● Build long-term relationships with utility clients by launching programs from pilot phase to through large scale rollouts

● Collaborate with cross functional teams to operationalize new Oracle Opower products and features

About You

● Minimum 7 years of hands-on technical experience

● You enjoy sniffing out complex, technical issues and solving them

● You are able to write SQL for large data sets and have recent experience with relational databases, MySQL preferred

● You have experience in Linux and are not afraid of the command line

● You demonstrate some programming knowledge (most of our code is in Ruby and Java, but Perl, Python, shell scripting have their places too)

● Oracle Opower skillset is mandatory as this is a senior position and you are required to interact with utility industry partners and clients

● You are a smart, talented engineer, looking for an exciting, fast-paced company to expand your toolbox and develop your skills.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

Position Summary:

We are looking for a skilled Data Analytics and Visualization Specialist to perform data analysis, create insightful visualizations, and manage data workflows using Tableau, Databricks, and AWS. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for turning data into actionable insights.

Role and Responsibilities

• Develop, implement, and maintain data analytics solutions using Tableau, Databricks, and AWS.

• Create and manage interactive dashboards and reports to visualize complex data sets.

• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

• Perform data extraction, transformation, and loading (ETL) processes to ensure data integrity and accuracy.

• Conduct exploratory data analysis to identify trends, patterns, and insights.

• Optimize data workflows and processes for efficiency and scalability.

• Provide training and support to team members on data tools and best practices.

• Stay up-to-date with the latest trends and technologies in data analytics and visualization.

• Build robust and reproducible data ingest pipelines to collect, clean, harmonise, normalise, and consolidate data sources.

Requirements / Qualifications:

• Bachelor in Data Science, Computer Science, Information Technology, or a related field.

• 2 - 3years of experience in the relevant field

• No experience is also welcome, on job training provided!

• Proven experience in data analytics and visualization using Tableau, Databricks, Sagemaker and AWS.

• Strong proficiency in SQL and data manipulation languages.

• Experience with ETL processes and data pipeline development.

• Excellent analytical and problem-solving skills.

• Strong communication and collaboration skills, with the ability to convey complex data insights to non-technical stakeholders.

• Ability to work independently and manage multiple projects simultaneously.

• Familiarity with healthcare data and regulations is a plus.

• Skilled in data acquisition and management with proficiency in data ingestion, storage, processing, and analysis using relational and non-relational databases and cloud-based data platforms.

Preferred Skills:

• Experience with Python or R for data analysis.

• Knowledge of machine learning techniques and tools.

• Ability to design and implement data models and data architecture.

• Certification in Tableau, Databricks, Sagemaker or AWS is a plus.

• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

• Experience in cloud -based data platform.

• An understanding of finance data is a plus.

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

Hall of Goods Pte Ltd is a distributor and reseller of lifestyle brands from around the world. While our company is based in Singapore, our brands are distributed and sold in many parts of Asia. We pride ourselves in being a true partner to the brand owners because we believe that it is equally as important to grow the equity of the brands we carry as it is to increase penetration and sales of their products in Asia.

Hall of Goods Pte Ltd invests in grooming our people as well as building strong partnerships with our suppliers and agencies. In that way, we create an eco-system that enables us to grow more effectively and efficiently.

While our structure is lean, we constantly look for talent that has the same values and principles as we do but can add new perspective at the same time. The values at Hall of Goods are simple.

1. Don’t be afraid to learn new things

2. Make sure everything you is done because you believe it has real value to the consumer and to the business

Roles & Responsibilities

Data entry and administrative assistant role

Responsibilities include consolidating and entering data from sales statements and providing administrative support to ensure efficient operations in the Company.

Job Responsibilities:

· Answer all enquiries via social media, phone call

· Entering of data entry, preparation and generating of invoices

· Assist with Management on any ad-hoc duties

. Flexible Working hours: 9am to 5pm. Minimum 3 working days a week. Working days can be discussed further

Job Requirement:

1. Minimum GCE ‘O’ Levels with working experience

2. Experience in data entry would be an advantage

3. Proficient in Microsoft Office

4. Good interpersonal and communication skills

5. Diligent, organised, self-driven, resourceful and fast learner

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

• Regularly inspect, maintain, and repair various data center systems such as piping and non-critical electrical or mechanical system components. Provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems, and assess their working order.
• Be responsible for the uptime and maintenance of water pumps and treatment systems, HVAC, UPS, generators, electrical distribution, and Control and Monitoring Systems.
• Develop creative approaches to reducing operational costs, whilst improving efficiencies. Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Provide tracking and trending operational characteristics. Support startup, commissioning, and integration of new equipment and systems into facilities infrastructure.
• Follow the site’s environmental health and safety policies. Availability to work on shifts including nights, weekends, and holidays.

Minimum qualifications

• Associate's degree, trade school certification, verifiable training in a relevant technical field, or equivalent practical experience.
• 2 years of experience in data center facilities.
• Experience in HVAC, Electrical Maintenance, Electrical Safety, Electrical Systems, Electrical Infrastructure Systems, Mechanical Maintenance, Mechanical Infrastructure Systems, Generators.
• Ability to lift and move 50 lbs of equipment, work on platforms, ladders, and under raised floors.

Preferred qualifications

• 3 years of experience in controls/automation or the equivalent in a critical/ construction/ high tech environment.
• Experience in data centers, hospitals, hotel industry, power plants, HV electrical substations, or other mission critical facility maintenance and operational experience.
• Knowledge of 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.
• Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.

Job Description

• Data Entry
• General Admin Duties, Filing of Documents
• Provide Administrative Support to Account team
• Responding to incoming Email and Phone Enquiries
• Adhoc duties assigned by Management

Requirements:
• Required skill(s) : MS Excel, MS Office
• With/ Without Work Experience
• Willing to learn

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

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

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.

Job Description

The successful candidate will work with Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

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.

Job Description

The Lee Kuan Yew School of Public Policy is a leading public policy school in Asia, part of the National University of Singapore. Its mission is to improve governance in Asia, and improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD programme, as well as executive education programmes for policymakers in Asia and beyond.

The School and the University place strong emphasis on teaching and learning. To serve the educational mission of the School and the University, the Educator Track has been designed to bring together and support the career pathway of outstanding educators. Faculty on the Educator Track will be expected to teach as well contribute to the broader educational mission of the School. At more senior levels, they are expected to lead on pedagogical innovations and in teaching and learning matters. A research background in a primary disciplinary domain is valued. Scholarly research on pedagogy and teaching is a bonus, but not mandated. Although the NUS Educator Track is not a tenurable line, it has a route towards an Associate Professorship on an open contract, along with the possibility of funding for overseas conference travel.

The LKY School invites applications for the following full-time positions on the Educator Track:

• Lecturer/Senior Lecturer in Public Finance & Budgeting (disciplinary field – Economics or Public Administration)
• Lecturer/Senior Lecturer in Data Analytics or Advanced Methods/Tools, with an ability to teach R and Python preferred (disciplinary field – Public Administration, Public Management, or Public Policy)

Applicants for Senior Lecturer positions must possess a PhD degree as well as at least five years teaching experience and demonstrated impact in higher education settings. Candidates for Lecturer positions should have a PhD degree, and prior teaching experience in higher education settings would be advantageous.

The appointments of Senior Lecturer and Lecturer will be for an initial period of 3-5 years and 2-3 years, respectively, ideally beginning January 2025, with the possibility of contract renewal based on performance and the school’s teaching requirements.

Application

To apply, please provide a detailed resume and a cover letter describing your background and preparation for the position, your teaching interests, and your potential contributions to the school.

Interested candidates are encouraged to find out more about the National University of Singapore and the LKY School at www.lkyspp.nus.edu.sg.

Required Documents

• Detailed curriculum vitae, including details of education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
• Cover letter.
• Teaching statement.
• A teaching portfolio with sample classroom exercises and recent student or peer teaching evaluations.
• Three letters of reference.

Only shortlisted candidates will be notified.

Job Responsibilities:

• To be responsible for driving and utilizing data analytics to develop intelligent insights for AML programs which includes customer risk-profiling, enhanced name screening, advanced on-going monitoring and management information system

• To work with multiple stakeholders to obtain data and deliver outcomes

• To work with large data sets and visualize outputs, ensuring data accuracy and good segmentation of data sets for tactical data mining tasks

• To perform documentation of methodology and outputs of data analytics and perform model validation

• Break down complex issues and develop solutions through data analytics, and present the findings in a structured and explainable manner

• Leverage on data analytics to support overall AML strategies to meet MAS regulations and expectations

• Use advance data modelling and analytical techniques to interpret key findings and leverage these insights in initiatives to improve efficiency and effectiveness of AML program

• Deliver MIS dashboard to facilitate AML compliance oversight and reporting

Job Requirements:

• Bachelors or Masters Degree in a quantitative field (e.g. Statistics) • Fresh grads, 0-5 years of experience are welcome to apply

• Internship experience or working experiences in relevant data analytics role

• Experience in financial crime compliance is an added advantage but not a must

• Proficient in SQL and Python

• Proficient with MS Office and Google Suite

• Detailed and process orientated

• Ability to think innovatively

• Ability to present complex ideas in a concise and simple manner

• Ability to work under tight timelines