Data Engineer - A26026

Data Engineer

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 realize 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 a Data Engineer.

This is a fixed term contract role. The engagement is 12 months with option to extend to another 12 months.

Internal Code: A26026

What will you do?

If you thrive in solving complex data challenges and building scalable data solutions, we'd love to hear from you!

We seek to design and develop software applications that help government agencies to better serve the needs of the people of Singapore. To that end, we employ an agile approach towards development, and work towards adopting the best practices and tools used in the top technology companies and organizations. We are now looking for a top-notch Data Engineer to join us in this mission.

We are looking for a highly skilled Data Engineer to solve complex data challenges, optimize production data pipelines, and enhance database performance. You will play a critical role in diagnosing and debugging data related issues, ensuring seamless data flow, and enabling data-driven decision-making.

Diagnose and resolve data issues, production outages, and performance bottlenecks to maintain system reliability.

Debug data job failures, including pipeline breakdowns and unexpected row data changes.

Optimize database queries and monitor database health to improve efficiency and scalability.

Develop workflows for automated data regeneration to maintain accuracy and consistency.

Facilitate secure and efficient data access for analysis, balancing liberalization with compliance.

Stay ahead of industry trends and recommend best-in-class data engineering technologies and practices.

Work with the Data Lead and engineering team to implement optimal data ingestion and storage strategies.

Design and build scalable, robust, and maintainable data pipelines in consultation with Data Lead using cutting-edge technologies.