Senior Data Tester

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

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Your RolePerform 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.Your Profile6-10 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.What you will love working at CapgeminiLarge-scale Data Warehouse and Big Data transformation programs.Modern cloud and analytics platforms using Databricks and Spark.End-to-end ownership of critical data quality initiatives.Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com