Assistant Manager - Data Engineering | Quality Role
WNS Global Services (company site, opens in a new tab)4–5 yrsBengaluruHybridDirect career pageEst. 10–18 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Define and automate data quality rules, reconciliations, and matching checks for enterprise finance data platform on Azure, Databricks and Snowflake.
- Build and maintain automated quality controls and dashboards ensuring trustworthy data for financial control, tax, and management reporting.
- Collaborate with business analysts and data owners to resolve recurring data issues and support production monitoring; may lead a small team of data quality engineers.
Minimum Requirements
- 4 to 5 years of experience in data engineering or data quality roles.
- Strong technical skills in Databricks (PySpark & Spark SQL), advanced SQL, Python, and data quality rule design.
- Experience with finance or banking data, including general ledger, sub-ledgers, reconciliations, and related financial controls.
- Degree in engineering or computer applications (B.E., B.Tech or MCA).
Ideal Candidate Profile
- Experienced in building automated data quality and reconciliation controls on cloud platforms (Azure, Databricks, Snowflake).
- Familiar with finance domain data, including month-end close, tax reporting, and management reporting data quality requirements.
- Capable of operational ownership of data quality controls and collaboration across business and IT domains, with potential team leadership exposure.