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SAP Data Engineer - MERKUR.COM AG
Data Engineer
Lead the design, development, and maintenance of SAP data pipelines, leveraging SAP HANA, SQL, and Python to deliver high‑performance, cloud‑enabled data solutions on AWS.
About the role
Key Responsibilities
- Architect and implement scalable data pipelines within SAP HANA, ensuring data integrity and performance.
- Develop and maintain ETL processes using SQL, Python, and SAP Data Services to support analytics and reporting.
- Collaborate with data scientists and business analysts to translate business requirements into technical specifications.
- Optimize data models and queries for large volumes, applying best practices in indexing and partitioning.
- Deploy and monitor data solutions on AWS, managing security, cost, and compliance.
Requirements
- Proven experience as a data engineer in an SAP environment, with deep knowledge of SAP HANA.
- Strong SQL skills and familiarity with ETL tools (e.g., SAP Data Services, Informatica).
- Programming proficiency in Python for data manipulation and automation.
- Hands‑on experience with AWS services (S3, Redshift, Glue, Lambda).
- Excellent problem‑solving skills and ability to work cross‑functionally.
Skills
sap hanasqlpythonaws