SAP Data Engineer

Chelsoft Solutions Co.
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Advanced Business Application Programming (ABAP) Cloud Computing Cloud Database Cloud Storage Data Transmissions Data Integrity Microsoft Software SAP ERP Azure Data Lake Runbook SAP (Applications) SAP CRM
+7 more
SAP NetWeaver Data Management SAP Project System Data Streaming Parquet Microsoft Fabric SAP S/4HANA Database Replication

Job description

This position is for a hands-on SAP Data Engineer with expertise in SAP Datasphere to build and support SAP-to-cloud data pipelines. The ideal candidate will have strong experience in SAP ECC, S/4HANA, SAP CRM, and Microsoft Fabrics, along with knowledge of ADLS Gen2 and One Lake., * Build and maintain data pipelines between SAP systems and cloud storage using SAP Datasphere

  • Work with SAP ECC, S/4HANA, and SAP CRM to ensure data replication flows are optimized
  • Create and manage ODP, CDS Views, CDC, and Delta Loads for efficient data transfer
  • Utilize DP Agent, ABAP Adapter, RFC, and Cloud Connector for seamless integration
  • Implement monitoring, troubleshooting, and runbooks for system maintenance
  • Document technical processes and procedures in TTO documentation
  • Collaborate with team members to ensure data integrity and accuracy
  • Stay up-to-date on industry trends and best practices in SAP data engineering

Requirements

  • SAP Datasphere / SAP DWC / SAP Data Intelligence
  • SAP ECC, S/4HANA, and/or SAP CRM
  • Replication Flows, Data Flows, and Remote Tables
  • ODP, CDS Views, CDC, and Delta Loads
  • DP Agent, ABAP Adapter, RFC, and Cloud Connector
  • Monitoring, troubleshooting, runbooks, and TTO documentation

Preferred Skills:

  • Microsoft Fabric, ADLS Gen2, OneLake, and Parquet
  • Experience with SAP CRM ICWEB

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Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:26 min

Establishing the first chief data officer role at SAP

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

2:50 min

Introduction and the value of runbooks

Hila Fish · World Congress 2023

2:50 min

How Parquet metadata enables efficient data reading

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

5:01 min

Designing a target architecture with Python and SAP APIs

Aldin Sljivar Aldin Sljivar · Europe 2026 Virtual

1:32 min

Structuring automated incident workflows between runbooks and raw models

Aram Hakobyan Aram Hakobyan +1 · World Congress 2026 Europe

2:03 min

Introduction to open table formats built on Parquet

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

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