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

Syncreon ConsultingBoston, MA🇺🇸United StatesPosted 4 Sept 2026

Why This Role Stands Out

This remote Senior QA Lead role offers a fantastic opportunity to shape data engineering and analytics testing strategies within the retail domain, leveraging cutting-edge technologies like Snowflake and Databricks. You'll thrive here if you possess extensive experience in data warehousing, ETL testing, and leading QA teams, allowing you to make a significant impact on data quality and drive innovation. Don't miss out on this chance to advance your career in a dynamic and flexible environment!

Quick Overview

Seniority
Entry Level
Employment type
Contract
Work mode
Remote
Location
Boston, MA, United States
Posted
13 hours ago
SQLETLScrumSeleniumSnowflakeAgileAzureDatabricksPower BIPythonpytest

Job Description

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.

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.

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