Kafka Tester

Must Have Technical skill:

• Apache Kafka: Deep understanding of Kafka architecture, components, and functionality.
• SQL: Experience with SQL for data validation and debugging. 
• ETL: Experience with ETL processes and data warehousing concepts. 
• Test Automation: Experience in developing and maintaining automated tests for data pipelines. 
• 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 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.