Senior Data Engineer - QA Process Automation - QuerySurge

Job Name : Senior Data Engineer - QA Process Automation (QuerySurge)

Years of Experience : 6

Job Description : We are seeking an experienced and detail-oriented Senior Data Engineer with strong

expertise in QA process automation for data validation and testing. The ideal candidate will bring hands on experience with QuerySurge and a solid foundation in ETL / ELT processes, data integration, and data quality assurance.

In this role, you will be responsible for designing, developing, and automating data validation and testing workflows across our data pipelines. You will ensure data integrity, accuracy, and reliability by leveraging automated testing frameworks and working closely with cross-functional teams. A strong background in data engineering, SQL, and QA automation practices is required.

Primary Skills : AWS,ETL Concepts, Data Integration Tool (Any),QA

Secondary Skills : Python, Datastage, Informatica IICS, Informatica, SSIS

Role Description :

The Lead Data Engineer will be responsible for overseeing the design, development, and maintenance of our data infrastructure and pipelines. This role requires strong technical expertise, leadership skills, and the ability to work collaboratively with cross-functional teams to ensure efficient and reliable data processes.

Additional Requirement :

• 6+ years of experience in Data Engineering with exposure to data quality and QA processes.
• 2+ years of hands-on experience in QuerySurge for test automation and data validation.
• Strong proficiency in SQL for validation queries and test case design.
• Experience with ETL / ELT tools (Informatica, Talend, DataStage, SSIS, DBT, or equivalent) and Redshift.
• Proficiency in Python for scripting, automation, and test integration.
• Familiarity with CI / CD pipelines, version control (Git), and Agile environments.
• Strong understanding of data warehousing concepts, dimensional modeling, and data governance.
• Experience in requirements gathering, test case creation, and defect lifecycle management.
• Excellent analytical skills, logical reasoning, and problem-solving capabilities.
• Relevant certifications in QA automation, data engineering, or cloud platforms preferred.

(ref : hirist.tech)