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Remote role and mid-level experience increase competition, though SAP specialization narrows applicant pool.
Strong SAP-specific skill requirements limit transferability across industries and roles.
Explicit 2–4 year requirement and mandatory SAP integration skills create strict shortlisting filters.
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Design, build, and maintain ETL/ELT data pipelines integrating SAP systems (ECC, S/4HANA, BW/4HANA) with cloud-based data platforms.
Develop and manage SAP data integrations using SAP Data Services, BW Extractors, ODP, RFC/BAPI for enterprise data warehouse and data lake environments.
Optimize SAP-connected databases for performance and cost while supporting real-time data flows and ensuring data quality across SAP and cloud environments.
Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience).
2–4 years in Data Engineering role with at least 2 years of hands-on SAP integration experience.
Strong technical skills with SAP data extraction methods (BW Extractors, ODP, CDS Views, RFCs, BAPIs), SAP Data Services, SAP BW/4HANA, S/4HANA data models, and SLT.
Proficiency in Python and SQL; experience with Spark and AWS cloud services is a strong plus.
Experience collaborating with SAP functional consultants and business stakeholders to translate business processes into data transformation requirements.
Comfortable working with complex SAP data models and driving integration into enterprise BI and FP&A workflows.
Prior experience leading projects or teams, with demonstrated capability in mentoring and knowledge sharing.