Data Engineer, SAP

Location: Hershey PA

This position can sit remotely. Hybrid is preferred.

Role Overview:

The Data Engineer will join our Information Services: Enterprise Architecture and Data team to build platforms and systems to manage, store, and transfer data leveraging a wide range of systems.

Knowledge, Skills & Abilities:

• Data Engineering – data manipulation and productization of the use of data. Ability to build and optimize data pipelines, infrastructure, and workflows. Topics include dimension reduction, feature engineering, tagging/annotation
• Data cleansing, curation, harmonizing & packaging – data cleaning, relationship identification, pattern recognition, and web scraping
• Database modelling -- applying database modelling concepts (e.g., ER diagrams), database modelling tools and languages.
• Additional data & analytics skills – descriptive and diagnostic analytics, programming and model construction, data reporting and visualization
• Development and coding skills -- familiarity with cloud-based ETL tools, REST APIs, data warehousing tools, modular coding & pipeline automation, integration programming, source code management

Experience & Education:

• Bachelor’s degree with quantitative, STEM focus (e.g. Computer Science, Engineering, Information Systems – other technical degrees will be considered).
• 5+ years of professional experience related to data, analytics, and insights, including:
• 3+ years of experience with SAP BW on HANA or BW/4 HANA
• 2+ years of experience with front end SAP Tools (Business Objects, SAP Analytics Cloud)
• 1+ years of experience with SAP Datasphere/Data Warehouse Cloud is preferred
• HANA Modeling, ABAP Programming and SQL Scripting experience is a must
• Experience working with data from various SAP Modules (Supply Chain, Demand Planning, Finance and other SAP modules)
• Experience with Relational databases (Azure SQL DB/DW/Synapse, Teradata, or Snowflake) is nice to have
• Familiar with information management practices, system development lifecycle management, IT services management, agile and lean methodologies, infrastructure and operations and EA and ITIL frameworks

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