Description

You ensure data integrity and reliability across ETL pipelines and on-premise databases, owning quality assurance for data workflows moving through AWS and Snowflake.

This role is hybrid.

Responsibilities

• Validate ETL processes to guarantee data accuracy and consistency.
• Design and execute test plans for data transformations and loads.
• Monitor pipeline performance and troubleshoot data quality issues.
• Collaborate with engineering teams to resolve defects in data flows.

Required Skills

• 5+ years of experience in ETL testing or data quality engineering.
• Strong proficiency with AWS data services.
• Hands-on experience with Snowflake.
• Proficient in Python for scripting and automation, including maintaining test automation scripts.
• Experience with GitHub for version control.
• Familiarity with on-premise database architectures.

Preferred Skills

• Experience with CI/CD pipelines for data testing.
• Knowledge of data warehousing concepts.

Key Skills

Education

Any Graduate