Requirements

5+ years of QA or data engineering experience
Focus on data pipeline testing and validation
Proficiency with SQL (joins, aggregations, window functions, performance tuning)
Hands-on experience with ETL/ELT frameworks
Experience with cloud data platforms (AWS, Azure)
Proficiency with scripting languages (Python, Shell) for automation
Deep understanding of data warehousing, data modeling, and data governance
Strong communication skills in both spoken and written English
Bachelor’s Degree in Computer Engineering, Computer Science, or equivalent

What you will work on

Design and execute test strategies for data pipelines, ETL processes, and data warehouse solutions
Validate large datasets for accuracy, consistency, and completeness across pipeline stages
Write and optimize complex SQL queries for data validation and reconciliation
Develop scripts to automate and streamline data quality testing
Collaborate with data engineers, analysts, and business stakeholders to define data quality standards and acceptance criteria
Identify, document, and resolve data issues, anomalies, and inconsistencies with cross-functional teams
Implement QA best practices in data engineering, including regression testing, monitoring, and CI/CD pipelines

Interested in this job? We're still accepting applications for this position