Kafka Tester in Homestead, Pennsylvania
Job in
Homestead, Allegheny County, Pennsylvania, 15120, USA
Listed on 2026-07-03
Listing for:
Envision Technology Solutions
Full Time, Seasonal/Temporary
position Listed on 2026-07-03
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing, IT QA Tester / Automation
Job Description & How to Apply Below
Location: Homestead
Kafka Tester
Job location:
Pittsburgh, PA / Dallas, TX / Strongsville OH
Duration:
Full time
Job Description:
- Apache Kafka:
Deep understanding of Kafka's architecture, components, and functionality. - SQL:
Experience with No SQL database for data validation and debugging. Experience with Mongo DB needed. - ETL:
Experience with ETL processes and data warehousing concepts. - Test Automation:
Experience in developing and maintaining automated tests for data pipelines using Karate - Data Analysis:
Ability to analyze data, identify issues, and propose solutions. - Communication:
Strong communication and collaboration skills are essential for working with development teams. - Roles & Responsibilities:
- Data Pipeline Testing:
Designing and executing test cases for ETL (Extract, Transform, Load) workflows and data validation, focusing on both batch and streaming data. - Data Validation:
Validating data ingestion, transformation, and loading processes within Kafka, ensuring data quality, consistency, and completeness across systems. - Kafka Expertise:
Hands-on experience with Apache Kafka for data streaming validation, including working with producers, consumers, and understanding Kafka's architecture and concepts. - Scripting and Automation:
Proficiency in Python or other scripting languages for automating testing of data pipelines and maintaining test scripts. - Issue Resolution:
Collaborating with developers to identify, analyze, and resolve data issues, performing root cause analysis, and proposing solutions. - Performance Testing:
Evaluating the performance and scalability of Kafka-based systems, ensuring they can handle the expected data volume and throughput. - Agile/Scrum:
Understanding and working within Agile/Scrum methodologies and participating in testing activities within the development lifecycle. - Data Warehousing:
Familiarity with data warehousing concepts and cloud data platforms is often a plus.
Regards
Pragyan Dixit
Envision Technology Solutions
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