Job Title: QA Data Engineer

Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)

Work type: Hybrid

Role Description / Responsibilities

A technically skilled QA qualified specialising in validating data platforms, ETL pipelines, analytical models, and largescale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.

Core Responsibilities

Data Testing & Quality Assurance
- Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
- Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.

Technical & Platform Responsibilities
- Write and execute SQL/PLSQL queries for data verification, profiling, and rootcause analysis.
- Use Databricks to inspect data, validate notebook logic, execute test scripts,



and investigate transformation failures.
- Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.

ETL/ELT and Pipeline Testing
- Validate endtoend ETL/ELT workflows.
- Ensure correctness of data transformations and seamless movement between data layers.
- Conduct regression testing following schema evolution, code updates, or pipeline refactoring.

Collaboration & Delivery Practices
- Work closely with Data Engineers, DevelopersinTest, Business SMEs, and Product Owners to ensure highquality delivery.
- Provide clarity on data issues, identify root causes, and support resolution.
- Participate in refinement sessions to assess testability of new features and data logic.
- Contribute to automation frameworks, promoting continuous integration of data tests.

Automation & Scripting (Desirable)
- Develop automated test scripts using Python, PySpark, or Pandas.
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📌 Senior QA Data Engineer (India)
🏢 Orion Systems
📍 India