- Robust proficiency in SQL for data validation and analysis.
- Experience with ETL/ELT processes and data pipeline testing.
- Understanding of data quality concepts and validation techniques.
- Familiarity with test automation using Python or similar tools.
- Basic understanding of CDC patterns, schema evolution, and data integrity principles.
Good to Have:
- Experience with AWS data services (Glue, Lambda, Step Functions, DMS).
- Knowledge of PostgreSQL/Aurora databases.
- Exposure to event-driven systems (e.g., Kafka).
- Proficient in containerization and orchestration using Docker and Kubernetes
- Familiarity with financial, trading, or risk management systems
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.