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Key Responsibilities :

- Design, execute, and maintain data validation and testing strategies for ETL/ELT pipelines.
- Validate data accuracy, completeness, consistency, and integrity across multiple data sources.
- Develop and execute SQL queries for data analysis, reconciliation, and validation.
- Perform end-to-end testing of data pipelines and transformation processes.
- Create and maintain automated data validation scripts using Python or similar technologies.
- Identify, analyze, and resolve data quality issues and collaborate with engineering teams for remediation.
- Validate schema changes, CDC (Change Data Capture) processes, and data migration activities.
- Prepare test cases, test reports, and documentation while ensuring adherence to quality standards.
- Collaborate with cross-functional teams to support data engineering and analytics initiatives.

Required Skills :

- 4 - 8 years of experience in Data QA, Data Validation, or ETL Testing.




- Robust proficiency in SQL for data validation and analysis.
- Hands-on experience with ETL/ELT processes and data pipeline testing.
- Good understanding of data quality, validation techniques, and data integrity principles.
- Experience with Python or similar scripting languages for test automation.
- Knowledge of CDC (Change Data Capture) patterns and schema evolution.
- Strong analytical, troubleshooting, and communication skills.

Preferred Skills :

- Experience with AWS data services such as Glue, Lambda, Step Functions, and DMS.
- Knowledge of PostgreSQL and Amazon Aurora databases.
- Exposure to Apache Kafka or other event-driven architectures.
- Experience with Docker and Kubernetes.
- Familiarity with financial services, trading, or risk management systems.
- Experience working in Agile/Scrum environments.

📌 Data Validation Engineer (India)
🏢 Xander Consulting And Advisory
📍 India