Sr. Data Engineer
Actively Reviewing the ApplicationsAnblicks
India, Telangana, Hyderabad
Full-Time
On-site
INR 15–30 LPA
Posted 2 months ago
•
Apply by May 27, 2026
Job Description
Job Title: Senior QA Engineer – Data Projects
Experience: 8–10 Years
Role Summary
We are looking for a Senior QA Engineer with strong expertise in data and analytics projects. The candidate should have hands-on experience validating ETL/ELT pipelines, data warehouses, and reporting layers, ensuring data accuracy, quality, and reliability.
Key Responsibilities
Perform end-to-end data testing across ingestion, transformation, and analytics layers
Validate data accuracy, completeness, consistency, and business rules
Write complex SQL queries for source-to-target reconciliation
Test ETL/ELT pipelines and data warehouse solutions
Support UAT, regression testing, and release validation
Collaborate with Data Engineers, Architects, and Business teams
Document test cases, defects, and QA results
Required Skills
8–10 years of QA experience with strong focus on data projects
Excellent SQL skills
Experience with Data Warehouse / Data Lake testing
Hands-on exposure to ETL tools and cloud data platforms (Snowflake, etc.)
Knowledge of data modeling and SCD concepts
Familiar with Agile / Scrum methodologies
Good to Have
DBT testing experience
Data quality tools (Great Expectations, Soda, etc.)
BI testing (Power BI / Tableau)
Experience: 8–10 Years
Role Summary
We are looking for a Senior QA Engineer with strong expertise in data and analytics projects. The candidate should have hands-on experience validating ETL/ELT pipelines, data warehouses, and reporting layers, ensuring data accuracy, quality, and reliability.
Key Responsibilities
Perform end-to-end data testing across ingestion, transformation, and analytics layers
Validate data accuracy, completeness, consistency, and business rules
Write complex SQL queries for source-to-target reconciliation
Test ETL/ELT pipelines and data warehouse solutions
Support UAT, regression testing, and release validation
Collaborate with Data Engineers, Architects, and Business teams
Document test cases, defects, and QA results
Required Skills
8–10 years of QA experience with strong focus on data projects
Excellent SQL skills
Experience with Data Warehouse / Data Lake testing
Hands-on exposure to ETL tools and cloud data platforms (Snowflake, etc.)
Knowledge of data modeling and SCD concepts
Familiar with Agile / Scrum methodologies
Good to Have
DBT testing experience
Data quality tools (Great Expectations, Soda, etc.)
BI testing (Power BI / Tableau)
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