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.

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

• 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

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.