Job Description: Header Description

Role Description

This role sits within the Risk & Compliance Product Team, working closely with the Data Discovery team. The Data Discovery team builds datasets/tables, and this role is responsible for validating those outputs before they are consumed by product use cases

Location

Gurgaon ( 3 days in office withno exceptions )

Experience

4-8 Years

Start Date

Immediate

Must-Have Skills

- Strong SQL expertise (mandatory)
- Experience in Banking / Financial Services domain (mandatory)
- Solid 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

Key Responsibilities

- 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

- Responsibilities: 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

Qualifications: Graduate in Computer Science, Data Science, or related field. years of experience in data engineering or related field.

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