Support the development and maintenance of data pipelines using SQL, Python, and Spark.
Assist with Databricks Unity Catalog migration activities, including data validation and basic permission checks.
Help analyze Databricks usage, cost, and job performance using metrics and AI‑driven recommendations.
Perform data access cleanup by reviewing and updating user and group permissions.
Support data quality checks and assist in resolving data issues with guidance from senior engineers.
Document data assets, data processes, and standard operating procedures.
Assist the team with ad‑hoc analysis and operational support tasks as required.

Undergraduate / Graduate students with a background in data engineering, computer science, information systems, analytics, or related disciplines.
Strong SQL skills and basic Python knowledge for querying, transforming, and validating data.
Basic understanding of data engineering concepts such as ETL / ELT and batch data processing.
Familiarity with Databricks and Spark, including notebooks, jobs, and tables.
Understanding of basic data access and governance concepts such as users, groups, and permissions.
Strong analytical mindset to review job performance, cost metrics, and identify simple improvement opportunities.
Good communication, documentation, and teamwork skills, with willingness to learn and receive feedback.
Able to commit to the internship on a full-time basis, from Aug 2026 – January 2027.

Co-op Internship Program – Asia Data Office

Key skills