Data Engineer

• Own the design and implementation of ETL workflows using Azure Data Factory and Databricks for compliance-related data ingestion and transformation
• Integrate and normalize data from multiple structured and unstructured sources, ensuring adherence to strict data quality governance framework
• Develop secure, auditable, and optimized pipelines for performance and reliability across sensitive financial datasets
• Automate ingestion and transformation processes to enable real-time compliance analytics and reporting
• Implement efficient storage formats and partitioning strategies for fast loading and retrieval
• Utilize Databricks and Delta Lake for distributed processing and versioned data storage
• Enforce data retention, archiving, and purging policies aligned with global regulatory requirements
• Migrate legacy application logic into modern Azure Databricks/Data Lake and SQL environments
• Maintain comprehensive data lineage, metadata, and audit trails using Azure Purview or custom frameworks
• Collaborate with governance teams and compliance analysts to define requirements and manage access controls
• Participate in Agile development cycles, sprint planning, and compliance reviews
• Review code changes and support production deployments

Data Engineer, DataBricks

Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer