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Kafka Tester

Job

Ventures Unlimited Inc

Dallas, TX (In Person)

Full-Time

Posted 4 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/14/2026

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Job Description

Kafka Tester at Ventures Unlimited Inc Kafka Tester at Ventures Unlimited Inc in Dallas, Texas Posted in 1 day ago.
Type:
full-time
Job Description:
Job Description Skill:
Kafka Tester Must Have Technical/Functional Skills:
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.