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SyncreonConsulting

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Senior QA Lead - Data Engineering & Analytics Testing - Retail domain is mandatory

Discussion

Summary

A senior QA lead role focused on testing data engineering and analytics pipelines for a retail-domain client. Day to day involves leading QA teams, validating ETL/ELT workflows, source-to-target reconciliation and business rules, using Snowflake, Databricks, Azure Data Factory, Azure Data Lake and SQL.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.

• 7+ years of experience in QA, Data Warehouse Testing, ETL Testing, or Data Quality Validation.

• Strong experience with:

• Snowflake

• Databricks

• Azure Data Factory (ADF)

• Azure Data Lake

• SQL

• Extensive experience in Data Warehouse and ETL/ELT testing.

• Strong understanding of Medallion Architecture and modern data platforms.

• Expertise in source-to-target mapping validation and data reconciliation testing.

• Experience validating complex business rules and data transformations.

• Strong analytical, troubleshooting, and problem-solving skills.

• Experience leading QA teams and coordinating testing activities across projects.

• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Python and PyTest automation experience.

• Experience with Snowflake Data Quality Monitoring and Data Metric Functions (DMFs).

• Exposure to Power BI or reporting validation.

• Knowledge of Data Governance and Data Quality frameworks.

• Experience with Azure DevOps, CI/CD pipelines, and automated testing.

• Experience developing data quality dashboards and monitoring solutions.

• Basic exposure to Selenium or UI testing is a plus but not required.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

All your information will be kept confidential according to EEO guidelines.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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