All fields marked * are required
Job Details:
Position : ETL Tester
Experience : 10+ Years
Location : Noida/Gurugram/Bengaluru/Pune (Hybrid)
Job Overview
We are seeking an experienced ETL Tester with strong expertise in validating large-scale data transformation processes and ensuring data quality across enterprise data platforms. The ideal candidate will have hands-on experience with Databricks, PySpark, SQL, automation scripting, and performance testing.
Key Responsibilities
Design, develop, and execute ETL test strategies, test plans, and test cases for data integration projects.
Validate data extraction, transformation, and loading processes to ensure data accuracy, completeness, and consistency.
Perform data validation using advanced SQL queries and compare source-to-target data.
Test ETL workflows developed in Databricks and PySpark environments.
Develop and maintain automated test scripts to improve testing efficiency and coverage.
Conduct performance, scalability, and load testing of ETL pipelines.
Identify, document, and track defects through resolution while collaborating with development and business teams.
Ensure adherence to data quality, governance, and testing best practices.
Support regression, integration, and user acceptance testing (UAT) activities.
Required Skills
10+ years of experience in ETL/Data Warehouse Testing.
Strong hands-on experience with Databricks and PySpark.
Advanced proficiency in SQL for data validation and analysis.
Experience in automation scripting for ETL testing.
Hands-on experience with performance and load testing of data pipelines.
Strong understanding of ETL processes, data warehousing concepts, and data validation techniques.
Excellent analytical, debugging, and problem-solving skills.
Strong communication and stakeholder management skills.
Required
All fields marked * are required
Job Details:
Position : ETL Tester
Experience : 10+ Years
Location : Noida/Gurugram/Bengaluru/Pune (Hybrid)
Job Overview
We are seeking an experienced ETL Tester with strong expertise in validating large-scale data transformation processes and ensuring data quality across enterprise data platforms. The ideal candidate will have hands-on experience with Databricks, PySpark, SQL, automation scripting, and performance testing.
Key Responsibilities
Design, develop, and execute ETL test strategies, test plans, and test cases for data integration projects.
Validate data extraction, transformation, and loading processes to ensure data accuracy, completeness, and consistency.
Perform data validation using advanced SQL queries and compare source-to-target data.
Test ETL workflows developed in Databricks and PySpark environments.
Develop and maintain automated test scripts to improve testing efficiency and coverage.
Conduct performance, scalability, and load testing of ETL pipelines.
Identify, document, and track defects through resolution while collaborating with development and business teams.
Ensure adherence to data quality, governance, and testing best practices.
Support regression, integration, and user acceptance testing (UAT) activities.
Required Skills
10+ years of experience in ETL/Data Warehouse Testing.
Strong hands-on experience with Databricks and PySpark.
Advanced proficiency in SQL for data validation and analysis.
Experience in automation scripting for ETL testing.
Hands-on experience with performance and load testing of data pipelines.
Strong understanding of ETL processes, data warehousing concepts, and data validation techniques.
Excellent analytical, debugging, and problem-solving skills.
Strong communication and stakeholder management skills.
Required