Senior Data QA Engineer - ETL, Data Warehouse & Big Data

Capgemini; Hyderabad City Taluka; On-site; PKR 2,000,000 - 3,600,000; Full time

Job summary

Capgemini hiring Senior Data Testing professional to perform ETL, Data Warehouse and Big Data testing for enterprise applications. You will validate mappings and transformations, and ensure data accuracy across complex data flows.

Ideal candidates bring 6–10 years in ETL/Data Warehouse or Big Data testing, strong SQL and PySpark skills, and experience with Databricks, Spark SQL, Hive or Hadoop. You will collaborate with multi-disciplinary teams and own critical data quality initiatives.

Qualifications

• 6-10 years of experience in ETL, Data Warehouse, or Big Data Testing.
• Strong hands-on expertise in SQL, PL/SQL, Joins, CTEs, and Window Functions.
• Experience with PySpark, Spark SQL, Hive, Hadoop, or Databricks.
• Strong understanding of data validation, reconciliation, and data quality testing.
• Experience in automation of data testing and defect lifecycle management.

Responsibilities

• Perform ETL, Data Warehouse, and Big Data testing for complex enterprise applications.
• Validate source-to-target data mappings, transformations, and business rules.
• Execute data quality, reconciliation, regression, and end-to-end testing.
• Develop and execute complex SQL queries for data validation and analysis.
• Collaborate with developers, data engineers, and business stakeholders to ensure data accuracy.

Skills

SQL

PL/SQL

Joins

CTEs

Window Functions

PySpark

Spark SQL

Hive

Hadoop

Databricks

Data validation

Data quality testing

Automation testing

Tools

Databricks

Spark SQL

Hive

Hadoop

CI/CD for data testing

Job description

Capgemini hiring Senior Data Testing professional to perform ETL, Data Warehouse and Big Data testing for enterprise applications. You will validate mappings and transformations, and ensure data accuracy across complex data flows.

Ideal candidates bring 6–10 years in ETL/Data Warehouse or Big Data testing, strong SQL and PySpark skills, and experience with Databricks, Spark SQL, Hive or Hadoop. You will collaborate with multi-disciplinary teams and own critical data quality initiatives.