Job Description
We are looking for a Python Developer (Data Engineering) to design, build, and support scalable data pipelines and analytics platforms within a large enterprise banking environment. The role involves end-to-end data engineering across batch and near-real-time processing, strong collaboration with business and IT stakeholders, and adherence to high standards of quality, governance, and security.
Key Responsibilities
- Develop robust data ingestion, transformation, and loading (ETL/ELT) processes across batch and near-real-time workflows
- Implement distributed data processing using Apache Spark (PySpark / Scala) for large-scale transformations and analytics
- Design and maintain logical and physical data models (dimensional/star schemas, data vault, wide tables) optimized for reporting and analytics
- Write and optimize SQL and HiveQL queries; manage tables, partitions, and storage formats
- Schedule, monitor, and suppo...
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