We are looking for a strong data scientist / engineer to join our team for an ongoing project we have. You will be responsible for :

• Testing and deployment of codes/jobs in Production
• Automating the jobs deployed.
• Work with team to create project documentations such as Operation Manual, Training Manuals, and others in preparation for System Commissioning.
• knowledge and hands on experience of AWS GCC native services such as AWS Glue, AWS Step Function, AWS Sagemaker, etc. on GCC or commercial Cloud.
• Python and pyspark experience is a must

Admin cum data entry

Invoicing – data entry, printing, scanning and filing,reply E-mail

Liaise with Traffic Controllers to ensure Works Orders are processed accurately and submit for billing promptly

Maintain proper filing system (invoices/documents) for audit purposes

Handle any other duties assigned by the Supervisor & Manager from time to time

Requirement:

Minimum ‘N’ level or equivalent

Knowledge of Accounting & Finance will be an added advantage

Proficient in Excel

Can work overtime when required

Positive attitude and customer-oriented

Working hours:

Mondays to Fridays: 8.30am to 5.30pm

O/T allowance will be given

Company transport provided. Reimbursement of Taxi fare for O/T.

Cindy Teng (EA Reg No: R2090544)

Active Manpower Resources Pte Ltd (EA Lic No: 06C3757

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Analyst

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.

Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful elivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

The Role

The Data Engineer will be part of the data engineering team. He/she will design and develop high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Job Responsibilities

· Build and support data pipelines and all associated Software Engineering infrastructure tasks.

· Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.

· Analyse data requirements, prepare functional and non-functional specifications for the data products.

· Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.

· Analyse and interpret data into business insights.

· Design and develop the dashboards and visualizations using the BI tools.

· Ability to understand and convert the business logics into SQL queries and validate it against the data.

· Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.

· Implement deployment approaches and methods to roll-out the system changes.

· Stay up to date with industry standards and technological advancements that will improve the quality of the data products.

Job Requirements

· A keen learner with a minimum Bachelor’s Degree in Computer Science or related fields.

· At least 2 to 3 years of end-to-end data warehouse, data lake and big data implementation experience.

· Proficient with at least one or more of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, AWS, Data Warehouse, ETL Framework.

· Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.

· Able to work under pressure when there is an escalated demand in the project cycle.

· Understand the solution requirements and progress to develop, build and operationalise the solutions.

· Enjoy problem solving in different domains and industries.

· Love working with a highly energetic and competent team.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Excellent communication; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Responsibility

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

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

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

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

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

We are looking for data processors to process, verify and organize surveyed data for reporting purposes. Fresh graduates are welcome to apply as on the job training will be provided.

Job Scope

• To process, verify and organize surveyed data
  • To identify errors in data
  • To perform data analysis
  • To prepare survey drawings using AutoCAD software
  • To generate reports for submission to Authorities
  • Other related duties as assigned

Requirements

• Fresh Diploma or Degree Graduates
• A good team player
• Proficient in Microsoft Excel
• Good Results and Strong Interest in Mathematics
• Meticulous / Pay attention to details
• Desk-bound job
• Fast learner
• Start immediate or within short notice

Work Location

Singapore

Ubi – Near Tai Seng MRT (Circle Line)

Working Hours

8.30am to 5.45pm (Monday to Friday)

Remarks

• Pleasant and Dynamic Work Environment
• Annual & Medical Leave Benefit
• Insurance Coverage including Personal Accident, Hospital & Surgical
• Good Career Progression
• Competitive Salary Package
• Annual Increment and Bonuses

Responsibilities:

• Design and implement robust, scalable data pipelines and architectures to support data ingestion, processing, and storage. Including performance optimizations for data modeling and ingestion
• Develop and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis.
• Model data to meet different use casesng applications and automate data workflows.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Lead the integration of data from various sources into data lakes and warehouses, ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines and workflows to ensure optimal performance and reliability.
• Communicate with and support data users
• Document data processes, data models, and architectural designs to ensure knowledge sharing and compliance with best practices.

Prerequisites:

• Experience: Minimum 3 years in data engineering fields with system integration, and at least 1 year in system integration and implementation in cloud/web-based environments.
• Proven Solutions: Demonstrated experience in providing effective, working solutions and implementations, particularly in cloud-based environments.

Technical Skills:

• Solid understanding of ETL processes, data warehousing concepts, and data modeling best practices.
• Proficiency in Databricks, Azure Data lake, PowerBI, Tableau and related data processing and visualisation software.
• Familiarity with Windows, Linux, AWS and/or Azure platforms.
• Strong programming skills in languages such as Python and R is a must
• Proficiency in other programming languages such as Java, Scala and C# will be advantages
• Experience in data processing frameworks (e.g., Apache Spark, Apache Flink)

Preferred Exposure:

• Experience with large-data management system with visualisation tools.
• Experience with Data Integration and ETL Pipelines, Data Warehousing and BI reporting projects.
• Experience with Singapore Government Project will be advantages

Personal Attributes:

• Excellent problem-solving skills
• Ability to work independently
• Collaborative in a fast-paced environment

Why Join Us?
Be part of a forward-thinking team that is transforming government digital services. If you are passionate about technology and innovation, and thrive in a dynamic environment, we want to hear from you!

If you are passionate about building partnerships and driving growth, we would love to hear from you!

Toppan Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at www.topppanecquaria.com or www.linkedin.com/company/toppan-ecquaria

For more career opportunities, please visit our career site at:- https://toppanecquaria.com/careers/job-openings?utm_source=Jobstreet&utm_medium=Page&utm_campaign=2020 (Please copy & paste the above link onto your browser)

Job Description & Requirements

Responsibilities

Analyze and organize raw data

Build data systems and pipelines

Evaluate business needs and objectives

Interpret trends and patterns

Conduct complex data analysis and report on results

Prepare data for prescriptive and predictive modeling

Build algorithms and prototypes

Combine raw information from different sources

Explore ways to enhance data quality and reliability

Identify opportunities for data acquisition

Develop analytical tools and programs

Collaborate with data scientists and architects on several projects

Requirements and skills

Previous experience as a data engineer or in a similar role

Technical expertise with data models, data mining, and segmentation techniques

Knowledge of programming languages (e.g. Java and Python)

Hands-on experience with SQL database design

Great numerical and analytical skills

Degree in Computer Science, IT, or similar field; a Master’s is a plus

Data engineering certification (e.g IBM Certified Data Engineer) is a plus

2. SKILLS

Data Analysis

Analytical Skills

Pipelines

Segmentation

Hadoop

Architects

ETL

Data Quality

Reliability

Data Engineering

Data Mining

SQL

Predictive Modeling

Python

Database Design

Java

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Job Description

Key Responsibilities:

1. Construction of data warehouses, development and maintenance of data services for Xiaomi's overseas Internet business.
2. Design a reasonable multidimensional data analysis system architecture for massive data processing and query needs, adaptable to changes in business, to meet a variety of requirements.
3. Clean and process massive logs, and abstract reusable data models for multiple businesses.

Job Requirements

1. Bachelor’s degree or above in a computer-related field.
2. Familiar with common relational and non-relational databases, distributed storage, and capable of selecting appropriate storage components based on requirements.
3. Knowledge of big data processing frameworks such as Spark and Flink, and preference for those who understand the concept of streaming processing.
4. Possess good problem analysis and solving skills, strong learning ability, and logical thinking.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.
2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.
3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.
4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.
5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.
6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

• Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
• Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
• Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
• Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
• Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.

2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.

3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.

4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.

5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.

6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

1. · Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
2. · Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
3. Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
4. Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
5. Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No: R22105541, TAY ZHIHENG, DARIUS

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Description:

• Collaborate with stakeholders to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Extract insights from raw data and present findings clearly through reports and visualizations.
• Assist with daily operational tasks, including application and server support.
• Support the sales and marketing teams in presales activities for potential customers.

Job Requirements

• Bachelor’s Degree or Diploma in Business Analytics, Computer Science, Data Analytics, Information Technology, or a related discipline.
• 1-3 years of hands-on experience in data science or data engineering is preferred.
• Strong oral and written communication skills.
• Proficiency in Python, R, or another programming language.
• Experience with various databases (e.g., MSSQL, PostgreSQL, Oracle DB).
• Solid understanding of data analytics and processing tools such as Power BI, MicroStrategy, and Robotic Process Automation (RPA) is preferred.
• Proven experience in operationalizing end-to-end data analytics solutions.
• Familiarity with cloud services, particularly Amazon Web Services (AWS), is a plus.

The Data Engineer plays a crucial role in the creation and maintenance of our advanced data analytics vital to the hospital's data-driven decision-making processes. The role focuses on the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. Role also supports the work of Group Chief Data Officer (GCDO) for Data Analytics.

Data Sourcing and Collection:
• Identifying and understanding source systems.

• Gathering requirements on frequency, volume, and types of data.
• Ensuring data privacy and compliance measures are in place.

Data Ingestion using Informatica IDMC and/or Spark using Python:
• Designing, implementing, and optimizing data ingestion pipelines. • Ensuring reliability and fault tolerance of ingestion pipelines.
• Handling data transformations, if necessary, during ingestion.
• Collaborate and manage vendors if required to for the data ingestion

Data Lake Management:
• Proper structuring of the data in the DataBricks Lakehouse to ensure it is usable and performant.

• Setting up data partitioning, indexing, and archival strategies.
• Monitoring data growth and storage consumption.

Data Quality and Validation:
• Implementing data quality checks and validation rules during ingestion. • Ensuring data consistency, accuracy, and integrity.
• Setting up alerts for any data anomalies or issues.

Integration with DataBricks Lakehouse:
• Making sure the ingested data is accessible, query-able, and optimized for performance in DataBricks.

• Collaborating with data scientists and analysts to ensure the data meets their requirements.

Performance Tuning and Optimization:

• Monitoring ingestion pipeline performance and making and coordinate necessary adjustments.
• Ensuring data loads meet SLAs and optimizing as needed

Security and Compliance:

• Setting up appropriate access controls and permissions. • Ensuring data encryption at rest and in transit.
• Regularly auditing and reviewing data access patterns.

Data Extraction Requests:
- Assist with data extraction requests

Documentation and Knowledge Transfer:
• Creating thorough documentation on data ingestion pipelines, schedules, transformations, etc.

• Conducting regular knowledge sharing sessions with other team members.
Collaboration:
• Working closely with other data engineers, data scientists, business analysts, and stakeholders.
• Communicating any changes, downtimes, or issues proactively.

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

Must have relevant experience in:

- Business Requirement Analysis

- Business Process and System Understanding

- Effective Communication with both business and technical users

- Conversant in Microsoft Office products

Should have hands-on experience as Azure Data Engineer using:

- Azure Data Factory

- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

Should have hands-on experience in

- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

- Providing technical support (80%) & enhancements (20%) for existing applications in Azure

Good to have following skills

- Knowledge of Azure Databricks

- Data modelling in Azure Analysis Services using star and snowflake schema

- Python Coding Experience

- Knowledge of writing DAX query to create measures & dimensions.

Job Description & Requirements:

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.

• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.

• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.

• Implement data quality checks, data validation, and ensure accuracy in processed data.

• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.

• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.

• Programming Languages: Python, Scala

• ETL Tools: Informatica, SAS

• Database Management: Oracle, MySQL, MS SQL Server, MongoDB

• Scripting: SQL, PL/SQL

• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook

• Version Control and Build Tools: Maven, SBT, Git

• Methodologies: Agile, Scrum

• Operating Systems: Windows, Unix, Linux

• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Storage, BLOB Storage

Job Summary:

We are seeking a talented and motivated Data Engineer to join our Software Engineering team. In this role, you will play a key part in designing, developing, and maintaining ETL processes using the Talend ETL toolset. You will work closely with team members to extract, transform, and load data from diverse sources, ensuring data integrity and quality. This position offers the opportunity to work on cutting-edge technologies like Hadoop, Spark, and Python, while contributing to impactful projects.

Key Responsibilities:

· Design, develop, and maintain ETL jobs using the Talend ETL toolset.

· Create ETL pipelines to extract, transform, and load data from multiple sources, including Cloudera, PostgreSQL, and SQL Server databases.

· Develop and optimize database tables and apply constraints to meet business requirements.

· Collaborate with team members to analyse source system structures and data retrieval methods.

· Support the development of data transformation logic using SQL, Python, and other scripting languages.

· Clean, validate, and transform data to meet schema and quality standards.

· Work with the team to implement data quality improvement plans.

· Troubleshoot data integrity and process issues to ensure efficiency and accuracy.

Technical Skills & Experience Required:

· Hands-on experience with Talend ETL tools (e.g., Talend Studio).

· Strong programming skills in Python and experience with Apache Spark.

· Proficiency with Hadoop ecosystem tools, including Hive, Impala, and HDFS.

· Solid understanding of data warehousing and data modelling techniques.

· Familiarity with relational databases such as PostgreSQL, SQL Server, and distributed systems like Cloudera.

· Experience with data visualization and analytics tools (e.g., Tableau, Power BI, etc.).

Qualifications:

· Bachelor’s degree in computer science, Mathematics, Engineering, or a related field.

· Strong interpersonal skills with a collaborative mindset.

· Excellent communication skills to interact with team members and projects effectively.

· A positive attitude and a proven ability to work within a team-oriented environment.

Soft Skills:

· Team player with strong problem-solving skills.

· Willingness to learn and adapt to evolving technologies.

· Ability to work under minimal supervision and meet project deadlines.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.

• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.

• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.

• Implement data quality checks, data validation, and ensure accuracy in processed data.

• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.

• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.

• Programming Languages: Python, Scala

• ETL Tools: Informatica, SAS

• Database Management: Oracle, MySQL, MS SQL Server, MongoDB

• Scripting: SQL, PL/SQL

• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook

• Version Control and Build Tools: Maven, SBT, Git

• Methodologies: Agile, Scrum

• Operating Systems: Windows, Unix, Linux

• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Storage, BLOB Storage

DATA ENGINEER

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization systems.
• Perform data extraction, cleaning, transformation, and flow, including web scraping.
• Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and collate data silos in a scalable and compliant manner.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
• Develop backend APIs and work on databases to support applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Participate in pair programming and code review processes with fellow developers.

Experience and Skills Needed:

• Proficient in general data cleaning and transformation (e.g., SQL, pandas, R, etc.).
• Experienced in building ETL pipelines (e.g., SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g., SQL, PostgreSQL, AWS S3, Athena, MongoDB, Postgres/GIS, MySQL, SQLite, VoltDB, Cassandra, etc.).
• Experience with cloud technologies (e.g., AWS, Azure, Google Cloud Platform).
• Passionate about data engineering in a big data environment using cloud platforms.
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge in system design, data structures, and algorithms.
• Familiar with data modeling, data access, and data storage infrastructure (Data Mart, Data Lake, Data Virtualization, Data Warehouse).
• Understanding of REST APIs and web requests/protocols in general.
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
• Comfortable with W3C Document Object Model and customized web scraping (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js, etc.).
• Comfortable in at least one scripting language (e.g., SQL, Python).
• Experience in both Windows and Linux development environments.
• Interest in being the bridge between engineering and analytics.

4o mini

As a Data Scientist in Group Engineering, you'll have the opportunity to drive business growth and innovation through data-driven insights and solutions. You'll work closely with senior stakeholders to identify and prioritize business problems, develop and deploy AI and machine learning models, and drive adoption across the organization. With OCBC's commitment to digital transformation, you'll be at the forefront of shaping the bank's data science capabilities and contributing to the development of a future-ready organization.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen and strategic thinking. You'll work closely with cross-functional teams to understand business needs, identify opportunities for data-driven innovation, and develop solutions that drive tangible business outcomes. You'll need to be able to communicate complex technical concepts to non-technical stakeholders, influence business decisions, and drive adoption of data science solutions across the organization.

What you do

• Develop and deploy AI and machine learning models to drive business growth and innovation
• Collaborate with senior stakeholders to identify and prioritize business problems and develop data-driven solutions
• Lead cross-functional teams to design and implement data science solutions that drive tangible business outcomes
• Develop and maintain large-scale data pipelines and architectures to support data science solutions
• Communicate complex technical concepts to non-technical stakeholders and influence business decisions
• Drive adoption of data science solutions across the organization and measure impact on business outcomes

Who you work with

Group Engineering is a strategic partner to teams across the bank, co-creating products and solutions that drive business growth and innovation. As a Data Scientist in Group Engineering, you'll work closely with senior stakeholders across the organization, including business leaders, product managers, and technology teams.

Who you are

• A seasoned data scientist with 8+ years of experience in developing and deploying AI and machine learning models
• A strong technical background in computer science, statistics, or a related field
• Experience leading cross-functional teams and influencing business decisions
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment and drive multiple projects simultaneously
• Strong business acumen and strategic thinking

Job Responsible

1) Design, build and maintain data pipelines and architecture in a centralized data lake environment.

2) Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

3) Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena

Job requirement:

A bachelor degree in a relevant field.

Hands-on experience with data lakes, ETL processes, data modeling, and cloud databases.
• Proficiency in programming languages like Python, Pyspark, R, SQL, or VBA.
• Experience with cloud platforms (AWS CLI, SDK API , Salesforce Service Cloud).
• Experience with automation tools (UiPath, Microsoft Power Automate, PowerApps).

Good communication skills.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

The Role

The Data Scientist will implement cohesive data integration and analytics solutions involving both structured and unstructured data. Projects will include development of predictive, forecasting or operation research (optimisation) models as well as text mining and network analytics solutions.

Job Responsibilities

· Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives within our Data and Analytics practice.

· Develop and manage the end-to-end lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring).

· Attend and assist in facilitating project meetings / workshops with client working team members.

· Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs.

· Participate in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.

· Produce high quality deliverables/document, with-ready-to-use content.

· Drive a module or task within a project on their own with minimal supervision.

· Prepare user requirements and any data development work including documentation.

· Proactively perform research on the business, industry and functional domain of the client to stay up to date.

· Assist in developing project deliverables and assets such as templates, processes, reports, and presentation decks for the client based on the work assigned.

Job Requirements

· Bachelor’s degree in computer science, Mathematics, Statistics, Business Analytics or equivalent.

· Data Scientist – at least 2 years’ experience in data analytics fields/ML.

· Experience in data processing, feature selection, hyper-parameter optimization, model validation and visualization.

· Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost.

· Able to develop SQL queries and working with data models.

· Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD.

· Familiar with object-oriented programming concepts and their application to data science pipelines.

· Deep and eager interest in emerging technologies and the ability to leverage the technologies into solutions to meet our strategic and operational client needs.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Detailed oriented and is able to work in fast paced and agile environment.

· Excellent communication skills; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Job Description:

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Please send your detailed resume in MS Word format to : [email protected]

Stating your notice period / earliest available commencement date, Current & expected salaries.

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes