Lead data testing efforts for a 6-12 month duration. Develop expertise in data validation, transformation testing, and reconciliation techniques. Collaborate with stakeholders to ensure data quality and integrity.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: Data Testing Lead
Location: Chicago, IL (100% Remote – Local Candidates Preferred)
Duration: 6–12 Months
Rate: DOE
Required Skills & Qualifications
• 8+ years of experience in Data Testing / ETL Testing / Data QA.
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• Strong expertise in data validation, data transformation testing, and reconciliation techniques.
• Hands-on experience with Azure Data Lake, MuleSoft, or similar integration/data platforms.
• Proficiency in SQL and building complex queries for cross-system data validation.
• Experience handling multiple file formats including JSON, XML, CSV, and flat files.
• Solid understanding of data warehousing concepts, ETL pipelines, and data flows.
• Experience in batch job performance testing and workload modeling.
• Knowledge of incremental vs. full data load validations.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and stakeholder collaboration abilities.
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Preferred Qualifications
• Experience with Databus, message queues, or streaming data platforms.
• Exposure to cloud data ecosystems and distributed data architectures.
• Prior experience in a lead or senior tester role.
• Familiarity with automation tools or scripting languages for data validation.
• Local candidates to Chicago, IL preferred though the role is fully remote.
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