Data QA

Position:ETL tester with data warehouse exp Duration: Long-term contract Location: Fort mill, SC (Onsite). Job Summary: Strong experience in Data Testing and ETL testing. Hands-on experience with cloud technologies, especially AWS Glue jobs and related data processing services. Good understanding of data pipelines, migration testing, and validation frameworks. Strong SQL skills. Working knowledge and experience in API testing and UI-level validations to support end-to-end testing scenarios. Re

Title: QA Analyst or Data Tester Duration: 12 Months - Long Term Location: Washington, DC 20433 (4 days onsite from day 1) Overview: Responsible for independently verifying that data transformations match business requirements, historical data is accurately archived, and the overall system is free of data defects prior to production go-live. Required Qualifications and Experience: 3-5 years as a QA Analyst or Data Tester, specifically focused on data warehouses, complex ETL pipelines, or massi

Job Title: Data Quality / ETL QA Engineer Location: Dallas, TX (Onsite 4 Days, 1 Day Remote) Role Summary Test data pipelines, ETL, and data quality across data lakes/warehouses.Key Responsibilities Perform data quality testing.Validate ETL processes and data pipelines.Perform schema regression testing.Validate data masking.Execute SQL-based checks using Snowflake.Required Skills Strong SQL.ETL/Data Testing.Snowflake.Data Validation.Data Masking.No AI/Synthetic-data tools.Tools / Technology Stac

Be an expert in writing and executing test cases, managing and analyzing large sets of data, creating automation scripts, and communicating relevant insights to the team Love to collaborate with other data professionals, engineers, and business operation experts to understand and address reporting needs Experience with both traditional and big data streaming Create and maintain complex SQL queries such as; type 2 triggers, various joins, aggregations, groupings, and more Execute ETL jobs using o