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2 days ago
The position is responsible for ensuring data accuracy, consistency and high throughput in event-driven systems.
Key Responsibilities:- Test ETL processes to ensure seamless data flow across various systems.
- Validate Kafka/Redpanda pipelines (producers, consumers, topics, schema registry, Avro/JSON) to guarantee error-free data processing.
- Run MongoDB queries to maintain data quality and integrity.
- Minimum 2+ years of experience as a QA Engineer with expertise in ETL testing, data validation and reconciliation.
- Hands-on experience with process methodologies used in the software industry.
- Strong knowledge of ETL testing, data validation, and reconciliation.
- Familiarity 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.
Working Conditions:
- Ability to work remotely or in an office setting.
- Flexibility with working hours based on team and client needs.
As an ETL Process Specialist, you will be responsible for ensuring the smooth operation of our data processing systems. You will work closely with our development team to identify and resolve issues related to data accuracy and consistency.
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