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Mid-level generalist data engineering role in a metro with broad skills and common title increases competition.
Role requires SAP, MES, and enterprise data governance experience, making cross-industry transferability limited.
Explicit 5–8 years requirement plus mandatory SAP/cloud, integration, and governance skills makes filters stringent.
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Design, build, and operate scalable, secure enterprise data pipelines and platforms integrating SAP, Salesforce, MES, and third-party sources.
Implement and enforce data quality, governance, security, and compliance across enterprise data supporting analytics, AI/ML, and reporting.
Collaborate with Enterprise Data Architect and cross-functional teams to translate architecture into production-ready solutions and support data platform evolution.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or related field.
5–8+ years of hands-on data engineering experience.
Proficient with SAP data sources (ECC/S4 tables, CDS views, extractors, APIs), Salesforce APIs, and enterprise integration platforms like MuleSoft or SAP BTP Integration Suite.
Advanced SQL and Python/Spark or equivalent data processing framework skills.
Experienced in implementing enterprise data governance and master data alignment within SAP-centered enterprises.
Skilled in data modeling for cloud data warehouses and lakes, with familiarity of manufacturing MES data and ERP/CRM/pricing domains.
Proficient operating within enterprise architecture standards and supporting global, multi-region environments with DevOps/DataOps practices.