
Data Pipeline Specialist
9 hours ago
System Tester Job Description
Job Title:ETL Tester
About the Role:We are seeking a highly skilled QA Engineer with expertise in ETL testing, Kafka/Redpanda, and MongoDB.
The role involves testing large-scale data pipelines, ensuring data accuracy, consistency, and throughput in event-driven systems.
Key Responsibilities:- Test ETL processes and perform data reconciliation across systems.
- Validate 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.
- Create 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 the 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.
- Ability to work in a remote and/or office setting.
- Work in shifts would be 2 pm to 10 pm.
- Work in an on-call mode to support as required.
- Fast-paced environment with tight deadlines.
- Support offshore hours/multiple time zones.
- Flexibility with working hours based on team and client needs.
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