Job DescriptionData QA Engineer
NLocation: Kolkata, India (Onsite/Hybrid)
NExperience: 2–4 years
NEmployment Type: Full time
NABOUT THE ROLE
nWeare hiring a Data QA Engineer for our data engineering team. This role is responsible for
Nvalidating ETL pipelines and data platforms built on Azure Data Factory, Databricks, and
NMicrosoft Fabric, along with the downstream tables, reports, and models they feed. The core
Nresponsibility is verifying data correctness, which is distinct from confirming that a pipeline
Nexecuted without errors —the two are frequently conflated, and this role exists to keep them
Nseparate.
nKEY RESPONSIBILITIES
N
- n
- Design and execute test plans covering source-to-target validation and transformation logic N
- for ETL pipelinesn
- Write SQL and PySpark scripts to verify accuracy, completeness, and consistency in Delta N
- Lake tablesn
- Perform regression testing on every pipeline change;
a successful pipeline run does not N
- guarantee correct output, and validation must be independent of execution status N




- Build and maintain reusable data quality checks (e.G., Great Expectations, dbt tests, or N
- custom PySpark frameworks) in place of one-off manual queries N
- Reconcile data between source systems and target Lakehouse/Warehouse layers, and N
- investigate root cause when discrepancies are found N
- Validate schema conformance, null/duplicate handling, referential integrity, and business N
- rule adherence across Bronze/Silver/Gold layers N
- Validate Microsoft Fabric artifacts — Lakehouses, Warehouses, and semantic models — N
- including DirectLake mode behavior and cross-domain data consistency N
- Apply consistent QA methodology across tools;
the underlying platform(Databricks, Fabric, N
- or otherwise) should not change how rigorously data is validated N
- Document test cases anddefects with enough detail for engineers to act on them without N
- requiring additional clarification N
- Work dir

📌 Hiring: Data Quality Assurance Lead (Secunderabad)
🏢 Finarb
📍 Secunderabad