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Experience: 5+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experienced Senior Data QA Engineer to ensure the accuracy, reliability, and quality of enterprise data pipelines, ETL processes, and data platforms. The role focuses on validating data transformations, business logic, KPIs, metrics, and data quality across contemporary platforms such as Snowflake, Databricks, and Hive.

The ideal candidate will combine strong SQL, Python, data engineering, and test automation skills with a deep understanding of data quality and validation. You will work closely with Data Engineers, Data Analysts, Product Managers, and Engineering teams to identify potential issues early and ensure reliable, production-ready data releases.

Requirements

Key Responsibilities
- Validate ETL pipelines, data transformations, business logic, and data quality across Snowflake, Databricks, Hive, and other data platforms.




- Design and execute comprehensive test scenarios for data pipelines, data warehouses, and analytical datasets.
- Translate business and technical requirements into effective test cases covering KPIs, metrics, calculations, and business rules.
- Use advanced SQL to validate large datasets, identify anomalies, reconcile data, and investigate data-quality issues.
- Partner with Data Engineers to identify potential failure points and proactively detect defects before production releases.
- Develop automated and reusable tests for data pipelines to improve coverage and reduce regression risk.
- Contribute to and enhance existing data test automation frameworks with a focus on scalability, reliability, and maintainability.
- Validate data accuracy, completeness, consistency, and integrity across source, transformation, and target systems.
- Perform regression testing and release validation for data platform changes.
- Collaborate with Data Analys

📌 Data quality engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru