About the Role
We are looking for a
Senior Data Engineer with strong expertise in Databricks, PySpark, Delta Lake, and cloud-based data pipelines.
The ideal candidate will design and build scalable ETL/ELT solutions, implement Lakehouse/Medallion architectures, and integrate data from multiple internal and external systems. This role requires strong technical leadership and hands-on architecture experience.
Key Responsibilities
- Design, build, and optimize data ingestion and transformation pipelines using Databricks, PySpark, and Python.
- Implement Delta Lake and Medallion architecture for scalable enterprise data platforms.
- Develop ingestion frameworks for data from SFTP, REST APIs, SharePoint/Graph API, AWS, and Azure sources.
- Automate workflows using Databricks Workflows, ADF, Azure Functions, and CI/CD pipelines.
- Optimize Spark jobs for performance, reliability, and cost efficiency.
- Implement data validation, quality checks, a...
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