Total 16 data entry job vacancies in D27 Yishun, Sembawang

Job Description: Azure Data Engineer

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of hands-on experience in Azure data services. The ideal candidate will play a critical role in designing, developing, and optimizing data pipelines and analytics solutions to support our organization’s data-driven initiatives.

Key Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Implement and manage data integration and transformation workflows.
• Build, optimize, and maintain scalable data solutions using Azure Synapse Analytics or Azure Datawarehouse.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business objectives.
• Ensure data quality, consistency, and reliability across all data processes.
• Monitor, troubleshoot, and improve data workflows for performance and scalability.
• Stay updated on industry best practices and emerging Azure technologies to implement innovative solutions.

Requirements:

• Experience: At least 2 years of hands-on experience with Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Certifications: Preferably holds a Microsoft Azure Data Engineer Associate certification or other relevant Microsoft certifications.
• Strong understanding of data integration, ETL/ELT processes, and data modeling.
• Familiarity with Azure cloud ecosystem and services (e.g., Azure Storage, Azure SQL Database).
• Solid experience with SQL for querying and managing data.
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with data governance, security, and compliance in cloud environments.
• Knowledge of scripting languages (e.g., Python, PowerShell) for automation.
• Familiarity with big data tools and frameworks within Azure.

As Assistant Manager (Data Analytics), Planning & Performance Insights, Corporate Development (CD), you will assist the Director, Deputy Director, Assistant Directors, and Senior Manager (Data Analytics) of Corporate Development to harness, prepare and analyze external and internal quantitative and qualitative data/information to enable:

a. Corporate and work planning

b. Management decision making and performance management

c. Operational decision support and continuous improvement

d. Departmental data and analytic needs

This role will be focusing on using data and dashboards for systemic care transformation performance monitoring and reporting e.g. MOH health utilization statistics, YH Corporate Key Performance Indicators (KPIs)/Key Results Area (KRA) indicators, Balance Score Card (BSC), value-based care outcomes at all levels. Key responsibilities of this position include but is not limited to:

1. Dashboard creation, updating and maintenance:

a. Develop and maintain interactive dashboards that visually represent key metrics and performance indicators.

b. Ensure dashboards are regularly updated to reflect the latest data and insights relevant to various departments and stakeholders within YH.

2. Stakeholder training and management:

a. Conduct comprehensive training sessions for stakeholders to enhance their understanding and effective use of dashboards for tracking indicators.

b. Provide ongoing support and address any queries related to dashboard functionalities and data interpretation.

3. Creation of specialized management insights reports:

a. Prepare and present specialized management insights reports to inform strategic decision-making processes.

b. Analyze data trends and provide actionable recommendations to enhance departmental and organizational performance.

4. Data processing and data quality management:

a. Oversee data processing and management to ensure high quality and accuracy.

b. Develop and implement data quality policies and procedures to maintain data integrity, facilitating informed decision-making.

c. Collaborate with IT and data teams to streamline data processing workflows and enhance overall data management practices.

5. Management of indicator or target definitions database:

a. Manage and maintain a comprehensive database of indicator definitions and targets, ensuring accuracy and consistency to support effective performance measurement and reporting.

Others

6. You will be accountable for results in any other work deemed relevant by D/CD, DD/CD, AD/CD, SM/CD.

Responsibilities include, but not limited to:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

United Kingdom Ministry of Defence - Singapore Support Unit

Singapore citizens only, please.

This is an entry level position. Overtime payments will form a substantial part of your remuneration.

You will be part of a busy fuelling and logistics services operation in a fuel depot and wharf management environment.

After training, you will be involved in the operations of installation machinery, equipment, pipelines, handling of large fuel hoses and routine maintence tasks. You will also carry out other duties as required.

You must be willing and able:

• Team worker
• Physically and mentally fit
• To wear breathing apparatus
• To work in confined spaces
• Not be afraid of heights

You must be willing to work paid overtime at short notice with occasional 12 hour shifts.

Essential:

• Police check and pre-employment medical check
• Min Class 3 driving license (any higher will be viewed favourably)
• Good command of written and spoken English
• Good interpersonal skills and flexibility to changing priorities
• Good team player - enthusiastic, self-motivated, problem solving skills

Desirable

• Relevant experience in an operational / engineering environment within the oil & gas industry would be an advantage.

Key Responsibilities

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

What we are looking for

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage

Job Description

1 .Collect, clean, and analyse key data from the Finance including removing duplicates, standardizing formats, and updating outdated or inaccurate information

2. Perform checks to verify accuracy and completeness by cross-referencing with reliable sources

3. Identify and fix inconsistencies to maintain data integrity

4. Ensure data quality and accuracy by managing the cleansing process for Finance .

5. Support Oracle NetSuite migration by ensuring accurate and timely data entry and validation

6. Compile large datasets efficiently for future reporting and analysis

7. Provide support to the daily operations of the Finance as needed.

8. Any other ad-hoc duties as assigned

Education Required:
▪Diploma or Degree in Supply Chain Management, or a related field
Experience Required:

▪ Intern can Apply
▪ At least 2 years of experience in data cleansing and migration within an ERP environment
Competencies and Skills Required
▪ Proficient in Microsoft Excel
▪ Knowledge of ERP systems, experience with Oracle NetSuite is a strong advantage
▪ Strong attention to details and organizational skills
▪ Ability to work independently and collaboratively within a team

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Job Description

This position is for a full-time Software Engineer to join Keysight’s Quantum Engineering Solutions (QES) organization, which is responsible for producing world-leading solutions in quantum technologies, including quantum computing, quantum communications and quantum sensing. As a Solution Developer, you will be part of an R&D team and launch breakthrough software solutions to market. You will engage in every stage of our product development process, addressing intricate technical hurdles in a customer-centric setting, while implementing a novel method for integrating classical data systems with quantum operations and third-party software as a Data Engineer.

Job Responsibilities

• Architect and implement scalable, cutting-edge data workflows to support quantum computing operations, including experiment data processing, calibration, and real-time analytics.
• Leverage advanced automation tools to manage and orchestrate workflows that integrate data from classical systems into quantum environments, ensuring high reliability and efficiency.
• Build and maintain data infrastructure, ensuring proper version control, data lineage, and efficient handling of large datasets produced by quantum experiments.
• Continuously analyze and optimize data workflows to enhance throughput, reduce latency, and improve overall system performance in a research-driven environment.
• Work independently as well as in teams to accomplish business objectives.

Job Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Physics, Electrical Engineering, or a related field with 4-7 years job experience.
• Good understanding of quantum computing concepts, and experience integrating classical data workflows with quantum experiments is highly desirable.
• Background in High-Performance Computing (HPC), data-intensive research projects, or scientific computing environments is preferred.
• Expertise in Python for developing, automating, and optimizing scientific data processing systems.
• Experience designing and managing data workflows using tools like Airflow, Spark, or similar, with a strong understanding of ETL processes and data infrastructure.
• Strong experience in SQL for querying, transforming, and managing large datasets.
• Knowledge of optimization techniques and algorithms.
• Ability to work in a collaborative environment and to develop teamwork among individuals and over geographically disperse teams.
• High tolerance for ambiguity, results-oriented, meets timelines, handles pressure while working positively in a collaborative manner.
• Excellent written and verbal communication skills
• Willingness to learn proactively.

About the job Reporting and Analytics Developer/Data Engineer

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. Overall experience can be 4 to 10 years. Consultant/ Senior Consultant preferably. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities:

• Analyze the Authoritys data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authoritys technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

What are we looking for:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

If you’re a self-driven, outgoing and sharp… We want you!!

Our organisation is looking for the next talent to develop in our industry to lead and manage marketing campaigns

Responsibilities:

- Brand representation of our reputable clients and their respective services

- Enhance customer acquisition through in-person interactions

- Provide excellent customer service

Perks:

- Travelling opportunities, both regional and international

- 1 to 1 Mentorship

- Advancement opportunities

- Competitive income

Good to have:

- Positive learning attitude

- Enthusiastic and Fun

- Team player

We regret to inform you that only shortlisted candidate will be notified.

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Primary Responsibility, but not limited to

Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and continuous improvement. Interacts with stakeholder to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

• Master’s degree in computer science, Computer Engineering, Statistics, Electronics Engineering, or other quantitative fields.
• Strong desire to grow a career as a Data Science Engineer in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Hands-on experience with Scikit-Learn, SciPy, Keras, Pytorch, TensorFlow etc.
• Ability to extract data from different data sources and applying data cleansing, outlier identification, and missing data techniques.
• Familiar with SQL and NoSQL queries.
• Fluency in Python.
• Experience in data visualization using packages such as Tableau, Python echarts/highcharts/matplotlib, etc.
• Strong verbal and written communication skills
• 6-year+ experience in data analytics/market intelligence is a plus.
• Exposure to the semiconductor industry is a plus but not a requirement.

We are looking for an experienced Auditor/Assessor to join our IT Audit team. The ideal candidate should have proven track record in Information Security/Data Privacy related audit experience and able to provide practical recommendations to strengthen the organization’s Information Technology security posture and data privacy regime.

Shortlisted applicants will be considered for the role of Information Security Auditor / Data Privacy Assessor / IT Auditor / Lead Auditor

Key Responsibilities:

​

Execution of the Information Security and Data Privacy related audit/assessment process

Exhibits appropriate judgment regarding issue notification, prepares draft findings in accordance with relevant systems standards and drafts final audit reports for review by the Technical or Audit Manager.

Demonstrates depth and breadth of knowledge of Audit methodologies and objectives.

Demonstrates professionalism with good communication skills.

Presents audit/assessment results in an objective and unbiased manner.

Writes opinions reflecting relevant facts that lead to logical conclusions.

Ensure compliance with ISOCert's policy & procedures

Perform administrative duties according to plan and organize audits.

Perform audit on client’s existing processes and Information Security and Data Privacy systems.

Investigate client’s business process controls, application controls and IT controls and benchmark them according to regulations and industry standards.

Pre-requisites:

Degree or Diploma in IT / Computing / Information Security or equivalent qualifications

Minimum 3 years of relevant working experience for Degree holders / 5 years of related working experiences for Diploma holders (preferably specializing in IT / IT Security field).

Candidates with knowledge and experience in ISO 27001, ISO 27701, DPTM and other management system related standards are preferred.

Preferably with Lead Auditor Training Certification in ISO 27001:2013 / Certified Information Security Auditor – CISA and PDPA related training.

Those with auditing experience will be an added advantage.

Good report writing skills

Excellent communication and presentation skills.

Job Descriptions:

• Conduct data analysis on our game projects on the group level (including analysis on game products, commercialization, operation, marketing, etc.)
• Perform market analysis on competitors, publishing channels, market trends, and work with business stakeholders to drive business opportunities/ efficiency
• Lead demographic and behavior analysis on gamers including but not limited to user value, retention, and monetization, using methods including but not limited to data analysis, data mining and user research to optimize gaming products
• Build a periodic reporting and intuitive dashboards pipeline on routine data performance to provide business insights
• Track and maintain data integrity across platform tools and workflows; identify and resolve data inconsistencies
• Work with our Slate Development Team to facilitate product proposals

Job Requirements:

• BA/BS degree in a major related to Data Analytics
• 5+ years of experience in data analytics; experience in the tech or gaming industry is preferred
• Expertise in SQL (database management and data wrangling/processing), and Tableau (or similar dashboard tools)
• Strong analytical and problem-solving skills, experience in decision-making and change management driven by data analysis and user research

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Additional Job Description

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervisedlearning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Required Skills

· Build, deploy and manage Data security products to secure and implement governance policies on the data assets in the organization.

· Integrate security frameworks on modern high-performance analytics database and computation engines like Spark, Presto, Kafka, Elastic, and technologies in the stack

· Java - SpringBoot

· NoSQL Databases

· Distributed computing

· Data & API Integration

· Networking

· AWS/GCP/Azure

· Identity and Access Management (IAM)

· Docker/Kubernetes/OpenShift