
Senior Data Pipeline Tester
13 hours ago
Our organization is seeking a skilled QA professional to contribute to the development of large-scale data pipelines.
Key Responsibilities- Evaluate and test ETL processes for data accuracy, consistency, and throughput in event-driven systems.
- Validate data flow between Kafka/Redpanda pipelines, including producers, consumers, topics, schema registry, and Avro/JSON formats.
- Develop and maintain test cases, defect reports, and collaborate closely with developers and product teams.
- A minimum of 2+ years of experience as a QA Engineer with a strong focus on ETL testing.
- Familiarity with software industry process methodologies, such as Agile or Waterfall.
- Deep understanding of ETL testing, data validation, and reconciliation techniques.
- Hands-on experience with Kafka/Redpanda, Git, CI/CD, and tools like JIRA or Azure DevOps.
- Good understanding of throughput, consistency, and defect tracking concepts.
- Scripting skills in Python or Java for automation purposes.
- Knowledge of cloud platforms (AWS) and Docker/Kubernetes.
- Exposure to Flink/Spark or other streaming frameworks.
- The ability to work remotely or in an office setting based on business needs.
- Flexible working hours based on team and client requirements.
- Opportunities for career growth and professional development.
- A collaborative and dynamic work environment.
This role will play a critical part in ensuring the quality and reliability of our data pipelines.
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