About the role
Requirements:
- Strong 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.