
Data Validation Specialist
2 days ago
- Validate ETL processes and perform data reconciliation across systems.
- Test Kafka/Redpanda pipelines (producers, consumers, topics, schema registry, Avro/JSON).
- Ensure data quality in terms of accuracy, consistency, and high throughput.
- Write and run MongoDB queries for data checks.
- Develop and maintain test cases, defect reports, and collaborate with developers/product teams.
- Minimum 2 plus years of experience as a QA Engineer
- Familiarity/experience with process methodologies used in software industry
- Strong knowledge of ETL testing, data validation, and reconciliation.
- Hands-on experience with Kafka/Redpanda.
- Good understanding of throughput, consistency, and defect tracking.
- Familiar with Git, CI/CD, and tools like JIRA or Azure DevOps.
- Scripting skills in Python/Java for automation.
- Knowledge of cloud platforms (Azure, AWS, GCP) and Docker/Kubernetes.
- Exposure to Flink/Spark or other streaming frameworks.
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High-Level Data Validation Expert
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