JD 1 Python / PySpark Data Engineer SAP Financial Services
Experience: 5+ years
Key Responsibilities / Skills:
- Strong hands-on experience in Python Development
- Extensive experience with PySpark / Apache Spark
- Robust Big Data / Data Engineering experience
- ETL/ELT development and large-scale data processing
- Strong SQL / Database concepts
- Data Warehousing and Dimensional Data Modeling
- Experience working with large-scale distributed datasets
- Cloud experience — AWS / Azure / GCP
- Git / version control
- Exposure to SAP Financial Services Data Management (FSDM)
- Understanding of SAP FSPL (Financial Services Package for Liquidity)
- Financial Services / Banking / Risk / Liquidity / Regulatory Reporting exposure preferred
Good to Have:
- Azure Databricks
- Spark SQL
- Delta Lake
- Apache Airflow
- Azure Data Factory / orchestration tools
- CI/CD
- SAP BW/4HANA
- SAP S/4HANA
- SAP Banking