Logo
Career Connections, LLC

***FILLED***SAP ETL Developer

Career Connections, LLC, Florida, New York, United States

Save Job

SAP, ETL/ELT, Datasphere, HANA, data pipelines, Python, SQL

Date:

October 24, 2025

Brand new,

100% remote-based

role open for growing client adding to staff!

The

SAP ETL Developer will be responsible for leading the integration of SAP data—primarily from SAP ECC and SAP S/4 HANA—into aunified, cloud-based Enterprise Data Platform (EDP).

This role requires deep expertise in SAP data structures, combined with strong experience in enterprise ETL development using cloud-native technologies.

SAP Data Integration (70%)

Architect and implement robust ETL pipelines to extract data from SAP ECC, SAP S/4 HANA, SAP HANA, and SAP Datasphere using best-practice integration methods (e.g., ODP, CDS views, RFCs, BAPIs).

Analyze and interpret SAP’s internal data models (e.g., tables like BKPF, BSEG, MARA, EKPO) and work closely with SAP functional and technical teams.

Work with SAP Datasphere (SAP Data Warehouse Cloud) to federate or replicate SAP data for consumption in the EDP (highly desired).

Enterprise ETL and Cloud Data Engineering (30%)

Design and build

robust, scalable ETL/ELT pipelines

to ingest data into Microsoft cloud using tools such as

Azure Data Factory

, or

Alteryx

.

Automate data movement from SAP into Azure Data Lake Storage / OneLake , enabling clean handoffs for consumption by Power BI, data science models, and APIs.

Build data transformations in

SQL

,

Python

, and

PySpark

, leveraging distributed compute (e.g., Synapse or Spark pools).

Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field

10+ years of IT experience, with at least 8years of SAP experience (SAP ECC and SAP S/4HANA).

Hands-on experience with Azure cloud data services including Synapse Analytics, Data Lake Storage, SQL DB.

Experience building cloud-native applications (ie:Microsoft Azure, AWS or GCP)

Relevant certifications (Microsoft Certified: Azure Data Engineer, Azure Data Scientist, Snowflake: SnowPro Data Engineer) are a plus.

#J-18808-Ljbffr