ETL Data Testing + Python-K
Summary
Senior Specialist role in Hyderabad focused on ETL and data testing for customer data platform initiatives. The person designs ETL test strategies, validates data pipelines and source-to-target mappings with SQL, and builds Python scripts for test automation, data validation, and reconciliation.
Senior Specialist ETL Data Testing + Python
Location: Hyderabad
Interview- F2F drive on saturday(24th oct)
Experience: 5-12 years
Mandatory Skills: ETL Testing + Python
Notice Period: Immediate-60 days
Job Summary
We are looking for an experienced Senior Specialist with strong expertise in ETL testing, data validation, and Python programming to support customer data platform initiatives. The candidate will be responsible for validating data pipelines, ensuring data quality, and optimizing data integration processes across multiple systems.
Key Responsibilities
- Design and execute ETL testing strategies to validate data extraction, transformation, and loading processes.
- Validate data accuracy, completeness, consistency, and integrity across source and target systems.
- Develop and maintain Python scripts for test automation, data validation, and reconciliation.
- Test ETL workflows, data pipelines, transformation logic, and data integration processes.
- Identify, troubleshoot, and report data defects and pipeline failures.
- Collaborate with data engineers, developers, analysts, and business stakeholders to ensure quality delivery.
- Support data architecture, data governance, and data quality initiatives for customer data platforms.
- Perform SQL-based data validation, source-to-target mapping verification, and data reconciliation.
- Participate in code reviews, maintain test documentation, and follow quality assurance best practices.
- Mentor junior team members and contribute to continuous improvements in ETL testing and automation.
Mandatory Skills
- Strong hands-on experience in ETL Testing and Data Testing.
- Proficiency in Python scripting for data validation and test automation.
- Strong SQL skills for data validation, reconciliation, and source-to-target testing.
- Experience testing ETL pipelines, data transformations, and data integration workflows.
- Knowledge of data quality, data integrity, and defect management.
- Strong analytical, troubleshooting, and problem-solving skills.
Apply Now if you have strong hands-on expertise in ETL testing, Python, and SQL-based data validation .