1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

Perform Data Analysis/ Build/ Test and release activites report

- work close with others stakeholder ( IT, Data Management and Governance, Data Scientis and Business units) to produce accurate data products.

Skills Need :

- Min 3 years experience in Business Intelligence/ Data Analytics.

- Must have strong technical and analytics Skills

- Min 4 yrs experience in Tableau/ Power BI/ Qlink Sense/ MSBI

- Min 2 years SQL Experience

- Experience in cloud Data management - Azure / AWS/ Government Commercial Cloud.

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

Job Description & Requirements

Design, code, test, implement, maintain, and support application.

Managing master data, including creation, updates, and deletion.

Provide quality assurance of imported data, working with quality assurance analysts if necessary.

Commissioning and decommissioning of data sets.

Designing, developing, and maintaining Tableau dashboards and reports that clearly visualize key business metrics.

Processing confidential data and information according to guidelines.

Ability to analyze existing tools and databases and provide software solution recommendations.

Ability to translate business requirements into nontechnical, lay terms

Estimate effort and write technical specifications that accurately reflect the design requirements and standards.

Create functional code from design specifications for new development, enhancements, or maintenance projects.

Database constructs and create database design specifications associated with new development or enhancements.

Provide customer support and conduct customer training as required.

Skills and Experience:

4+ years of experience in software development.

Strong hand-on, consultant experience with Haver Analytics and Tableau softwares.

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.

Generating reports from single or multiple systems.

Visualization design and deployment: Tableau Data Analyst will also drive the development of dashboards, their automation and deployment, to be used by key stakeholders.

Outstanding verbal and written communication skills.

Strong troubleshooting skills and attention to detail.

*We welcome junior level candidates also to apply!

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Experience working with defined contributions data, pension modeling and asset/interest rate analysis.
• Experience working with time series data sets and analysis.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Strong econometrics skills.
• Experience in analyzing job posting, skills data, compensation data, etc.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

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

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

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

• Build data systems and pipelines
• Data Migration
• Data ingestion of new data sources.
• Create data pipeline for integrating the incremental feeds and historical load for new data sources.
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Developed Oracle PLSQL packages to perform data reconciliation
• Design and build programs which transform data to the Data model
• Build algorithms and prototypes
• Combine raw information from different sources
• Create procedures, functions, and packages to ingest daily transaction data, transform and feed it into the reporting data layer.
• Explore ways to enhance data quality and reliability
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects
• Have good knowledge in Informatica BDM, SQL Server, Oracle SQL / PLSQL, Unix scripting , Hive, Impala, HDFS, Scala, Control-m / TWS

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.

• Design, develop, test, and implement Tableau dashboards and visualizations
• Supporting Business dashboards, projects, and ad-hoc requests
• Manage portfolio of existing and future Tableau dashboards and deliverables (data preparation, security design, access management, data visualizations design, testing, optimization and automation, enhancement roadmap, portfolio catalog, development prioritization, user adoption and training)
• Lead the implementation of enhanced dashboard access and data sharing security framework for Business dashboards requirements
• Deliver meaningful insights, trends, and analysis across all Business areas using a variety of internal and external data sources
• Participate in gathering requirements and consulting with customers to understand business problems and find the best way to visualize outcomes
• Participate in cross-functional projects
• Translate analysis outcomes into compelling data visualizations that are intuitive and prompt insights and actions
• Use data to tell stories by creating visually appealing reports, Tableau dashboards, and presentations for our internal customers

Job requirement

• Bachelor Degree in Computer Science or Information technology
• Basic knowledge of products, services and channels in fin tech industry
• Strong background in database concept.
• Expert in Data Visualization tools (e.g. Tableau, QlikView, Power BI etc.)

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform -

https://sg.go.persolkelly.com/job/details/10579

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E
EA License No. 01C4394 • EA Registration No. R1105286 (Ngiam Xinyi)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.

Key Responsibilities

• Design, implement, and maintain ETL workflows for managing large-scale datasets.

• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.

• Optimize data models to ensure high performance and reliable reporting.

• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.

• Incorporate predictive analytics and AI-driven insights to enhance decision-making.

• Automate trend analysis and forecasting using machine learning techniques.

• Develop and integrate machine learning models for real-time predictive analytics.

• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.

• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.

• Perform regular audits to ensure high-quality and consistent data systems.

• Collaborate with cross-functional teams to develop tailored data solutions.

• Mentor and train teams on best practices for business intelligence and analytics tools.

• Engage with stakeholders to understand complex business requirements.

• Deliver customized reports and data-driven insights aligned with client strategies.

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

• knowledge in Qlik Sense, Tableau, and other business intelligence tools.

• Hands-on experience with cloud platforms like AWS and Azure.

• Strong skills in ETL workflows, data pipelines, and data modeling.

• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

• 3+ years in data engineering, business intelligence, and AI-driven analytics.

• Proven success in leading data-driven projects and implementing scalable solutions.

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

• We are looking for a Data Engineer with intermediate to advance knowledge of SQL, and intermediate Java/ Python and API skills to help us build and evolve our Data Management Platform.
• Your primary focus will be the writing complex SQL queries, fine tuning and development of all server-side backend data processing logic, ensuring high performance and responsiveness to requests from the front-end / API requests on Linux environment.
• Writing complex SQL queries to serve new requirements for ETL, data analysis and debugging.
• Writing SQL functions, procedures as required based on the requirements
• Finetune or optimize queries to support the increasing volume of data.
• Writing reusable and efficient code in SQL, Python/Java.
• Communicate closely with all product owners, Business, and engineering teams to develop approaches for data platform architecture.
• Create microservices or API’s in java/Python that will invoke the created SQL functions or Procedures.

Key Requirements:

• 5 - 10+ years of experience having hands on experience in writing, debugging, and optimizing SQL queries, functions and stored procedures.
• 2+ years of experience with hands on experience in writing, debugging Python / Java on Linux environment.
• Basic knowledge of Computer Science fundamentals - OOPS, Data Structures and Algorithms.
• Basic understand of regular Linux commands and usage.
• Willingness and ability to learn new tools/languages as needed.
• Process oriented with excellent oral and written communication skill with a desire for customer service.
• An excellent team player and communicator who can work effectively with cross functional teams and ability to navigate ambiguity.

Knowledge of ETL’s and basics of Data warehousing, Data Masking

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 Engineer

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 delivery 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.

Good programming skills in Python

Must possess experience or interest in training and deploying machine learning models end to end.

Good understanding of basic statistics and deep learning techniques

Prior experience in data integration, profiling, validation and cleansing

Proficiency with SQL

Software delivery

Strong understanding of agile methodologies

Strong understanding of CI/CD

Strong understanding of test-driven development

Comfortable using version control and enterprise task management tools.

Data Engineering

Experience in deploying TensorFlow and PyTorch into production

Building data pipelines and architecture

Should have extensive experience with relational and NO-SQL databases

Should have proficiency in handling both structured and unstructured data sources

Strong experience deploying applications to cloud platforms like Azure, AWS

Interest in building efficient batch and streaming data engineering pipelines

Exposure to distributed data processing platforms like Spark

JD:
o Good programming skills in Python
o Must possess experience or interest in training and deploying machine learning models end to end.
o Good understanding of basic statistics and deep learning techniques
o Prior experience in data integration, profiling, validation and cleansing
o Proficiency with SQL
· Software delivery
o Strong understanding of agile methodologies
o Strong understanding of CI/CD
o Strong understanding of test-driven development
o Comfortable using version control and enterprise task management tools.
· Data Engineering
· Experience in deploying TensorFlow and PyTorch into production
o Building data pipelines and architecture
o Should have extensive experience with relational and NO-SQL databases
o Should have proficiency in handling both structured and unstructured data sources
o Strong experience deploying applications to cloud platforms like Azure, AWS
o Interest in building efficient batch and streaming data engineering pipelines
o Exposure to distributed data processing platforms like Spark?.Data Engineer

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.

We are currently looking for innovative and organized individuals with the ability to work through large volumes of operational sales activities including implementation, optimization and reporting. Data analysts will support the needs of the Global Partnership sales team and publishers around the world through our email systems and by interacting in a cross-functional work environment.

Core Tasks:

• Perform large scale data analysis to identify trends and efficiency opportunities
• Support implementation and optimization for Programmatic monetization and Platform solutions.
• Support GP sales users through our email customer service tools.
• Troubleshoot account issues where required and provide account administration support.
• Contribute to automation efforts and offer possible solutions to increase operational efficiencies.
• Perform other administrative and operational role-related tasks such as: creating reports, presentations, communicating with stakeholders.

Mandatory Skills :

• At least 3 years of work experience with Account Management, Ad Operations or Project Management (experience with AdX, AdSense, AdMob, and DFP a plus).
• Problem-solving, analytical skills, comfortable handling and interpreting data.
• Ability to work through large volumes of support requests from our internal Sales customers within specified time frames.
• Broad understanding of online advertising solutions (i.e. ad serving, monetization) and of key platforms and trends (i.e. desktop, mobile, video).
• Advanced knowledge of Microsoft Office Suite: Excel, Word, PowerPoint & basic knowledge of SQL.
• Strong professional etiquette, organizational skills and attention to detail.
• Extremely organized, responsible, and having the proven ability to work well independently and with a team. - Quick learner, strong collaboration skills.