Kafka Tester

Position: Kafka Tester

Location: Pittsburgh, PA / Dallas, TX / Strongsville, (Cleveland) OH ONSITE

Job Type: Fulltime

Job description:

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