Job Description
Key Responsibilities
Data Engineering & ETL Development
- Develop and maintain end-to-end ETL pipelines using Azure Databricks and PySpark
- Manage, process, and transform data using Python
- Ensure performance optimization and scalability of data pipelines
ETL Testing & Data Quality
- Perform ETL testing including Master Data Management (MDM), data completeness, cataloging, lineage, and quality validation
- Validate data across multiple source feeds to ensure consistency and reliability
Domain-Specific Responsibilities
- Support regulatory and business reporting requirements, especially in the Banking domain (preferred)
- Collaborate with stakeholders to understand data requirements and ensure accurate delivery
Collaboration & Documentation
- Work closely with cross-functional teams to design, impl...
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