Sr Quality Analyst - ETL Tester
Hyderabad
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- SQL
- AWS
- Azure
- Databricks
- Hadoop
- Hive
- Python
- Spark
- Google Cloud (GCP)
- Snowflake
- PySpark
Source — Tool mentions in context
Purpose of Job: As an ETL Tester, you will play a critical role in ensuring the accuracy, consistency, and reliability of data as it moves through our ETL pipelines — from extraction and transformation through to loading into the data warehouse. You'll be responsible for designing test scenarios, executing source-to-target validations, and writing advanced SQL queries (joins, subqueries, window functions, aggregations) to catch data quality issues such as duplicates, nulls, and referential integrity gaps before they reach production. Working within an Agile team, you'll partner with data engineers, and business analysts to validate transformation logic and business rules, support UAT and production validation, and track defects through tools like Jira or Azure DevOps or GitHub. This role is ideal for someone with 3–5 years of ETL/DW testing experience who thrives on precision, enjoys solving data puzzles, and wants to grow into cloud, Big Data, or automation-driven testing. We'll trust you to:
- Perform source-to-target data validation. - Write complex SQL queries to verify data accuracy. - Test data transformation rules and business logic.
You'll need to have: - Strong SQL (joins, subqueries, window functions, aggregations) - ETL testing concepts
- Python or PySpark - Cloud platforms (Azure, AWS, GCP) - CI/CD tools (Jenkins, Git)
- Perform functional, regression, integration, and data quality testing. - Log and track defects using tools like Jira or Azure DevOps or GitHub. - Work closely with ETL developers, data engineers, and business analysts.
- Unix/Linux commands - Defect tracking tools (Jira, Azure DevOps, GitHub) - Knowledge of Agile/Scrum methodology
- Data Warehouse concepts (Fact & Dimension tables, Star/Snowflake schema) - Working experience with Databricks, or Snowflake - Unix/Linux commands
- CI/CD tools (Jenkins, Git) - Big Data testing (Hive, Hadoop, Spark) At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!
Nice-to-Have Skills - Python or PySpark - Cloud platforms (Azure, AWS, GCP)
Job description
Purpose of Job:
As an ETL Tester, you will play a critical role in ensuring the accuracy, consistency, and reliability of data as it moves through our ETL pipelines — from extraction and transformation through to loading into the data warehouse. You'll be responsible for designing test scenarios, executing source-to-target validations, and writing advanced SQL queries (joins, subqueries, window functions, aggregations) to catch data quality issues such as duplicates, nulls, and referential integrity gaps before they reach production. Working within an Agile team, you'll partner with data engineers, and business analysts to validate transformation logic and business rules, support UAT and production validation, and track defects through tools like Jira or Azure DevOps or GitHub. This role is ideal for someone with 3–5 years of ETL/DW testing experience who thrives on precision, enjoys solving data puzzles, and wants to grow into cloud, Big Data, or automation-driven testing.
We'll trust you to:
- Validate ETL workflows (Extract, Transform, Load).
- Create and execute test cases and test scenarios.
- Perform source-to-target data validation.
- Write complex SQL queries to verify data accuracy.
- Test data transformation rules and business logic.
- Perform functional, regression, integration, and data quality testing.
- Log and track defects using tools like Jira or Azure DevOps or GitHub.
- Work closely with ETL developers, data engineers, and business analysts.
- Support UAT and production validation.
You'll need to have:
- Strong SQL (joins, subqueries, window functions, aggregations)
- ETL testing concepts
- Data Warehouse concepts (Fact & Dimension tables, Star/Snowflake schema)
- Working experience with Databricks, or Snowflake
- Unix/Linux commands
- Defect tracking tools (Jira, Azure DevOps, GitHub)
- Knowledge of Agile/Scrum methodology
- Basic understanding of APIs and automation is an added advantage.
- 3–5 years in ETL/Data Warehouse testing
- Python or PySpark
- Cloud platforms (Azure, AWS, GCP)
- CI/CD tools (Jenkins, Git)
- Big Data testing (Hive, Hadoop, Spark)
Nice-to-Have Skills
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Aug 8, 2026
- Recorded sightings
- 32
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Aug 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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