-Develop ETL processes to extract, transform, and load data from various sources into database.

-Ensure data quality, consistency, and integrity through validation and monitoring.

-Collaborate with data scientists and analysts to provide clean and structured datasets.

-Implement data security measures, including encryption, IAM roles, and access controls.

-Automate data workflows to improve efficiency and reduce manual intervention.

-Monitor and troubleshoot data pipelines to ensure reliability and performance.

-Document solution design, technical design and test strategy to ensure resource reusaiblity and tracebility.

-University Degree (or above) in Computer Science, Software Engineering, or a related discipline.

-Excellent written and spoken communication skills in English is a must

-Demonstrable 5 years above of commercial experience on developing software, application or solution for large-scale system with ideally either Java/Spring or Python. Both skill sets are highly desirable.

-Master SQL / BigQuery /Postgres and other relational databases.

-Ensure clear communication and documentation in English to collaborate effectively with teams.

-Stakeholder Management with ability to convey complex technical information into clear, concise business terms

-Report to Management team on the progress with Risk and Issues

-Experience in DevOps principles and practices and collaborate with team members