ETL QA

Job not on LinkedIn

🔥 2 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 11%

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Logo of Everest Technologies, Inc

Everest Technologies, Inc

51 - 200 employees

Founded 1997

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Everest Technologies, Inc. is a technology solutions provider that focuses on addressing business challenges through innovative IT services. The company specializes in managed services, project solutions, and staff augmentation, helping organizations improve their engineering capabilities and enhance their operational efficiency. Everest Technologies leverages advanced methodologies in DevOps, quality engineering, and cloud enablement, offering a wide range of application services to drive technology transformations across various industries.

📋 Description

• Validate ETL pipelines during the migration and merging of 30 disparate databases into a consolidated MySQL instance • Write complex SQL queries to validate data extraction, transformation, and loading from legacy SQL databases • Design and execute automated reconciliation scripts comparing millions of rows between source and target systems • Ensure data integrity, business rule alignment, and zero data loss or corruption during migration • Build and maintain automated test frameworks for data pipelines • Verify migrated data surfaced correctly through APIs and Data Access Layers alongside C# and Java developers • Identify, log, and troubleshoot data drift, truncation errors, mapping failures, and performance bottlenecks

🎯 Requirements

• 7+ years of experience writing advanced SQL queries • Advanced SQL expertise including joins, CTEs, window functions, and stored procedures • Experience with MySQL and SQL Server • Proven experience testing large-scale database consolidations, data warehouse migrations, or complex ETL pipelines • Hands-on experience building automated data validation scripts using Python, C#, or specialized data testing tools such as Great Expectations, dbt tests, or QuerySurge • Strong understanding of database schemas, primary/foreign key relationships, indexing, and data mapping documents • Ability to prove data equivalence through automated reconciliation rather than manual spot-checking • Nice to have: Familiarity with Postman, REST Assured, or equivalent API testing tools • Nice to have: Ability to read C# or Java code • Nice to have: Experience with Azure/AWS data services and CI/CD pipelines

🏖️ Benefits

• Remote work arrangement

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