Key skills
ETLSQLData EngineeringSanityStakeholder ManagementCommunication
About this role
Role Overview
- This role sits within the Risk & Compliance Product Team, working closely with the Data Discovery team.
- Validate datasets and tables generated by upstream data teams, including legacy and POA data systems, to ensure accuracy and reliability
- Execute SQL-based validation to verify data accuracy and completeness
- Cross-check source vs output data (table-level validation, not complex mapping ownership)
- Identify data issues, anomalies, and inconsistencies and drive resolution
- Collaborate with data teams to confirm expected outputs and business logic
Requirements
- Graduate in Computer Science, Data Science, or related field.
- 4-8 Years Experience in data engineering or related field.
- Strong SQL expertise (mandatory)
- Experience in Banking / Financial Services domain (mandatory)
- Strong Communication and stakeholder management skills
- Experience in either:
- Data Validation / Data Testing, OR
- Data Engineering / ETL / Data Build
- Strong understanding of:
- Data structures and tables
- Data sanity checks and validation techniques
Tech Stack
- ETL
- SQL