Back
Tier-1 brand, mid-level (2–5 yrs) role, and metro Chennai location increase competition.
ETL testing and data validation skills are broadly transferable across industries but require domain knowledge.
Explicit 2–5 years requirement plus mandatory SQL, Python and ETL testing skills raise screening rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and execute automated ETL test strategies and validation frameworks for data ingestion, transformation, and loading processes.
Validate data quality, completeness, accuracy, and transformation rules across enterprise data platforms including pipelines, warehouses, and lakes.
Collaborate with cross-functional teams to troubleshoot, improve data quality, participate in code reviews, and support testing for data migrations and platform upgrades.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
2-5 years of experience in ETL testing, data validation, or data engineering.
Strong SQL skills and proficiency in at least one programming language such as Python, Java, or test automation frameworks.
Good understanding of ETL processes, data warehouses, and data quality principles.
Experienced in developing automated test scripts for complex ETL pipelines and data platforms at an intermediate level with some guidance.
Comfortable working collaboratively with Data Engineering, Analytics, and Product teams in an Agile environment.
Has practical knowledge of data reconciliation, lineage validation, and impact analysis to ensure reliable data movement.