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.

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 National University of Singapore invites applications for Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

We regret that only shortlisted candidates will be notified.

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 Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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.

Datacenter Operations Engineer

The Leaseweb APAC team is growing quickly and looking for talented individuals to join us. Our Data center Operations Team is involved in the daily management of our current 6 data center facilities in the APAC region (Singapore, Japan, Hong Kong and Australia) and we are about to open 3 more data center location in Singapore, Japan and Australia later this year. You will be responsible for the configuration and installation of the servers during the provisioning process in our data center in Singapore, and other data centers in the region as needed. You will also be assisting customers with the installation of network equipment in more complex designs.

Key responsibilities:

• Installation, configuration, relocation, and removal of server equipment at the data center
• The assistance of customers within data centers (for customers with their own racks/servers)
• Upgrade/downgrade of server equipment (memory/hard disks/etc.)
• Replacement of hardware and handling of all relevant administrative matters.
• Testing servers and server equipment in accordance with standards
• Work with remote hands partners within the APAC region to support installation and/or adjustment of servers.

Requirements:

• At least one year of hands-on experience working in a data center with servers
• Knowledge of various operating systems, especially Linux
• Knowledge of Hardware (Servers, Switches, KVM, Hard Drives, Memory etc.)
• Basic network knowledge (adjusting DNS/IP/Netmask/gateway/etc.)
• Certificate or degree in Computer Science or similar discipline preferably with an emphasis in Technology
• Professional and effective communication in English

What we offer:

• Competitive salary
• The possibility to develop yourself and build your career
• Comprehensive Health Insurance
• A great working environment in a dynamic, international, fast-growing organization

Ready for the next step?

If you’d like to apply, please do so online. To learn more about us, follow us on LinkedIn or Instagram to get an inside look at the life at Leaseweb. For questions, please reach out to Danisha Ardilla - Talent Acquisition Specialist, at: [email protected]

Recruitment agency? Thank you for your interest, but we are sourcing all our candidates directly. We appreciate you trying anyway but please keep in mind that any unsolicited profiles you send us will be treated as direct applications.

You Will

• Data Collection & Wrangling: Gathering data from various sources (databases, APIs, web scraping, etc.), cleaning it, and transforming it into a usable format. This often involves dealing with missing values, inconsistencies, and different data types.
• Exploratory Data Analysis (EDA): Uncovering patterns, trends, and relationships in data through summary statistics, visualizations, and data mining techniques. This helps to form hypotheses and identify areas for further investigation.
• Statistical Analysis: Applying statistical methods to test hypotheses, make predictions, and draw inferences from data. This can involve techniques like regression analysis, hypothesis testing, and time series analysis.
• Data Visualization: Creating meaningful charts, graphs, and dashboards to communicate insights effectively to stakeholders. This involves choosing the right visualization techniques to tell a compelling story with the data.
• Reporting & Communication: Presenting findings and recommendations to both technical and non-technical audiences through reports, presentations, and dashboards. Strong communication skills are essential to convey complex information clearly.
• Predictive Modelling: Building models to forecast future outcomes based on historical data. This can involve machine learning techniques like regression, classification, and clustering.
• Data Management: Contributing to the development and maintenance of databases and data pipelines. This ensures data quality and accessibility for analysis.
• Collaboration: Working with cross-functional teams (e.g., marketing, product, finance) to understand their data needs and provide data-driven solutions.

You Bring

• Preferable min. 2-3 years of working experience, preferably in the SI environment.
• Diploma or Bachelor's degree in a quantitative field like statistics, mathematics, computer science, economics, or a related field is typically required.
• Proficiency in at least one data analysis language like Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• SQL for querying databases, and potentially experience with tools like Excel or data manipulation libraries.
• Experience with tools like Tableau, Power BI, Qlik Sense, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
• Familiarity with statistical software packages like SPSS or SAS can be beneficial.
• Knowledge of Hadoop, Spark, or other big data technologies may be required for roles dealing with large datasets.
• Strong analytical and problem-solving skills are crucial for interpreting complex data and drawing meaningful insights.
• Excellent written and verbal communication skills are necessary to present findings clearly and concisely to both technical and non-technical audiences.
• Depending on the industry, having domain-specific knowledge (e.g., IT and finance) can be a significant advantage.

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

Position Overview:

The incumbent manages the systems administration function and leads the organisation's system projects and environments. He/She focuses on setting goals and priorities and on mentoring and coordination as well as providing technical leadership. He/She plans and oversees systems upgrades and migrations and ensures systems are up-to-date with the latest patches and are coherent across the organisation. He/She directs the development and maintenance of technical documentation.

He/She possesses strong leadership and communication abilities, and is able to set realistic goals and implement appropriate plans to guide the team toward achieving those goals. He/She is able to address multi-faceted issues effectively and in a collaborative manner including across departments.

Responsibilities:

Set system administration processes

• Establish goals and priorities, design, planning, day-to-day operation, maintenance, and advanced troubleshooting of systems

• Align system administration with overall strategic IT service direction and business needs

• Assist with the development of business case justifications and cost/benefit analyses for spending and initiatives

• Anticipate internal and/or external business challenges and/or regulatory issues

• Develop policies, procedures, and controls to ensure system security

Develop New Systems

• Partner with stakeholders to recommend innovative and automated approaches for system administration

• Define systems requirements for new technology implementations

• Prepare for system expansion by studying plans and requirements

• Oversee the design, maintenance and implementation of the systems

• Prioritise tasks to ensure projects are implemented in accordance with project plans and budgets

Optimise Systems Performance

• Recommend process, product or service improvements, resource optimisation and cost savings

• Oversee hardware and software upgrades

• Recommend new technologies, methodologies, systems or opportunities for cost savings, security and service quality improvement

Manage Teams

• Oversee team management including budgets, forecasting, work allocations and staffing

• Develop staff through ongoing coaching, mentoring and career discussions

• Define common goals, direction and accountability among staff

• Drive effective performance management practices within department in accordance with company policies and procedures

Requirements / Qualifications

1. Degree in Computer Science, Computer Engineering

2. Experience in developing, implementing and maintaining data projects or analytics systems with at least 8 years of project operation management experience

3. Highly-motivated self-starter who will undertake all activities to the highest professional standards

4. Must be cloud certified. Working experience in IDMC, Databricks, Sagemaker, Tableau with AWS exposure

5. Good in-depth understanding of data warehouse concepts, data profiling, data verification and advanced analytics techniques

6. Experience in managing a team in operations support and project implementation work

7. Certification in IT operation management is preferred

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.

Job Description:

• As a key member of HR payroll and data management team, you will ensure accuracy, consistency and standardization of HR processes to ensure efficient administration of all HR activities that complies with company’s policies and government legislations.
• You will work proactively in partnership with key stakeholders to deliver end-to-end processing of employee data, keep proper documentation and records, and administer the staff compensation and benefits.
• In addition to the day-to-day operations, this role will identify and streamline the HR processes and develop a centralized shared service unit at the group level to drive quality HR services (covering full employee lifecycle) to employees in a large organization.
• There will be projects centered around HR system enhancements in SuccessFactors, BIPO Payroll, Leave and Attendance Management for you to hone your project management skills and develop yourself to be the subject matter expert on the deployment of HRIS.

Job Requirements:

• Minimum 2 years or more relevant HR Shared Service Experience.
• Diploma/Degree in Business Administration, Human Resources, Psychology or related.
• Hands-on experience on SuccessFactors is a pre-requisite.
• Knowledge on Payroll administration is an advantage.
• Proficient in Microsoft Office applications.
• Prior experience in HR shared services environment with a large organization is preferred.
• Highly self-motivated, committed and resourceful; with initiative and drive to deliver organized and meticulous work.

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

About STT GDC

Be part of a global leader in data centre solutions

ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.

Why STT GDC

STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.

✨ Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.

• Position :IT/Data Centre Technician (Server/Hard Disk)
• Location : Lok Yang Way
• Working hours : 5 days, Monday to Friday (8.00 am to 5.30 pm)
• Salary (commensurate with experience) : Up to $3400 + AWS + Performance Bonus + Meal
• Duration : Permanent
• Industry :Logistics MNC

​
Main Responsibilities:

• Perform physical and technical tasks of low complexity on Data Center Infrastructure equipment (servers infrastructure, network infrastructure, or equipment DC floor)
• Install, troubleshoot, and maintain servers, networking equipment, and cabling
• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.)
• Learn and apply diagnostic methods to troubleshoot data center equipment
• Use hardware/software tools and workflows (automation) in support of these tasks
• Strictly follow policies, processes, and procedures related to data center environment
• Perform maintenance on a timely basis with adequate recordkeeping
• Maintain supply of spare parts inventory
• Ensure equipment is started up properly and maintain equipment with minimal downtime
• Locate sources of problems by observing and listening to mechanical devices in operation.
• Maintain documentation of performance of preventive maintenance, equipment repair, part usages and other documentation
• Ensure a safe working environment and perform maintenance in a safe manner

Requirements:

• Min intermediate Vocational Education in maintenance, hardware repair or equivalent
• Minimum 1 years of experience
• Experience in Lean Principles warehousing.
• Basic knowledge of Linux OS a plus
• Able to identify basic network components and perform fiber and cabling handling
• Ability to rapidly learn Standard Work Instructions (training and job shadowing to be provided)
• Physically fit to carry heavy goods
• Willing to work shift hours when required

Email me at [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

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.