QA Engineer
Argyll Infotech, Inc.
Position: QA Engineer - Data Pipeline, Kafka & AWS
Location New York City/Dallas TX/St. Louis MO Hybrid
Employment Type: Long-Term Contract
Job Description
We are seeking an experienced QA Engineer with strong expertise in Data Pipeline testing, Apache Kafka, AWS, API testing, and SQL . The ideal candidate will be responsible for validating data ingestion, transformation, processing, and delivery across distributed data platforms.
Key Responsibilities
Bachelor's degree in computer science, Information Technology, Engineering, or a related field preferred
Location New York City/Dallas TX/St. Louis MO Hybrid
Employment Type: Long-Term Contract
Job Description
We are seeking an experienced QA Engineer with strong expertise in Data Pipeline testing, Apache Kafka, AWS, API testing, and SQL . The ideal candidate will be responsible for validating data ingestion, transformation, processing, and delivery across distributed data platforms.
Key Responsibilities
- Design and execute QA test plans, test cases, and test scenarios for data pipelines.
- Perform ETL/ELT and data validation testing across source, transformation, and target systems.
- Validate Kafka topics, producers, consumers, messages, offsets, partitions, and data flow .
- Test real-time and batch data pipelines for accuracy, completeness, consistency, and reliability.
- Perform SQL-based backend/database testing and data reconciliation.
- Validate data processing and integrations across AWS cloud services .
- Perform API testing using tools such as Postman, REST Assured, or similar.
- Identify, troubleshoot, and document data discrepancies and defects.
- Work closely with Data Engineers, Developers, Business Analysts, and DevOps teams to resolve issues.
- Develop and maintain automated test scripts where applicable.
- Validate end-to-end data flow from source systems through Kafka and downstream AWS/data platforms.
- Participate in regression, integration, system, performance, and production validation testing.
- QA/testing experience , preferably in data-intensive applications.
- Strong experience in Data Pipeline / ETL Testing .
- Hands-on experience with Apache Kafka .
- Strong SQL skills for data validation and reconciliation.
- Experience testing AWS cloud-based applications and data pipelines .
- Experience with API/REST testing .
- Knowledge of batch and real-time data processing .
- Experience with defect management and test management tools.
- Strong understanding of SDLC, STLC, Agile/Scrum methodologies .
Bachelor's degree in computer science, Information Technology, Engineering, or a related field preferred
Vacancy posted 3 days ago
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