Data Testing Lead

GeorgiaTEK Systems Inc. United State
Remote
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AI Summary

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
Lead data testing efforts
Develop expertise in data validation and transformation testing
Collaborate with stakeholders
Key Responsibilities
Develop expertise in data validation, data transformation testing, and reconciliation techniques.
Lead data testing efforts for a 6-12 month duration.
Collaborate with stakeholders to ensure data quality and integrity.
Technical Skills Required
Azure Data Lake MuleSoft SQL JSON XML CSV Flat files Data warehousing concepts ETL pipelines Data flows
Benefits & Perks
100% Remote
DOE (Determined by Experience)
Nice to Have
Databus
Message queues
Streaming data platforms
Cloud data ecosystems
Distributed data architectures

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.

• 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.


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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