Role Overview
As our SAP Data Engineer, you'll own the SAP side of a modern data pipeline for enterprise customers running SAP on AWS. You'll design and ship the extraction layer that lifts data out of SAP HANA into S3 cleanly and incrementally, and you'll build the BW / BW4HANA load path that takes curated data back into the warehouse for business users to query.
What You Will Do
Build extraction pipelines from SAP HANA to AWS S3 using SLT, ODP, CDS views, SDI, and native HANA SQLScript, model raw SAP tables into clean datasets, design and operate delta and CDC patterns, write ABAP extractors, and own the write-back path.
Why It Might Be a Fit
You'll be the SAP voice on customer calls, and the person engineering counts on when raw SAP tables need to become datasets a business analyst can trust. You'll work alongside a PySpark engineer who owns the transformation layer on EMR, meeting them at the S3 boundary.
Requirements
- Deep SAP HANA extraction experience
- Strong grasp of SAP table structures and business semantics
- Solid delta and CDC instincts
- ABAP fluency
- SAP BW / BW4HANA data loading and modeling experience
- Working AWS knowledge
Benefits
- Flexible work arrangement
- Opportunity to work with a modern data pipeline
- Collaborative work environment
- Professional development opportunities
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