Data quality engineer
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฒ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฌ-๐ญ๐ฒ ๐๐ฃ๐)
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 modern 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</
