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Co-op Internship Program – Asia Data Office
ManulifeData Co-op Intern supporting data engineering and operations for Manulife's Asia Data Office. Gaining hands-on experience with data pipelines, Databricks, and cloud platforms while learning data governance.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL and basic Python for data querying and transformation, with a foundational understanding of data engineering concepts such as ETL/ELT. Capable of supporting data quality checks, documentation, and operational tasks while demonstrating strong analytical and communication skills.
Highest-signal resume keywords
SQLPythonDatabricksSparkData Engineering Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonETLELTData ValidationData AnalysisData Quality ChecksData Access CleanupBasic Permission ChecksMetrics Analysis
Soft Skills
Analytical MindsetGood CommunicationDocumentation SkillsTeamwork SkillsWillingness to Learn
Tools & Technologies
DatabricksSpark
Industry Keywords
Data PipelinesData GovernanceUser PermissionsGroup PermissionsOperational Support
Tech Stack
Tools & technologiesETLPythonSparkSQLUnity
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development opportunities
- Wellness programs
- Inclusion initiatives