Azure Developer at Hyperion Technologies
Wayne State University - Washington, DC
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Job Title: Azure DeveloperLocation: Washington, DCHybrid Onsite: 4 Days onsite per week from Day 1Premium Skills:Azure Cloud Services (PaaS and IaaS)SAP APO, SAP Fiori, SAP BPC, S/4 HANARequired Qualifications:5+ years of experience in data engineering, with a focus on Azure DatabricksStrong understanding of data modeling for planning and forecastingExperience with SAP BPC, including data structures, logic scripts, and planning process flowsHands-on experience with Azure services: ADLS Gen2, Data Factory, Synapse, Key Vault, etc.Ability to translate legacy planning logic into modern, modular, and scalable data pipelinesExperience working with cloud-based planning tools or their integration patternsProficient in Python, SQL, and version control (e.g., Git)Strong analytical and communication skillsPreferred Qualifications:Experience in finance, FP&A, or enterprise performance management (EPM) domainPrior involvement in BPC migration projects or cloud planning platform implementationsFamiliarity with cloud-based FP&A toolsKey Responsibilities:Analyze current SAP BPC data models, processes, and integration pointsDesign and implement scalable ETL/ELT pipelines in Azure Databricks to support data extraction, transformation, and delivery to the new planning platformCollaborate with SAP teams to extract actuals, plans, forecasts, and master data from SAP BPC (NetWeaver or MS version)Translate BPC logic (scripts, transformations, allocations) into Databricks-based data models and logicEnsure accurate and timely data delivery from Databricks to the new cloud planning platform via APIs, flat files, or direct connectorsCreate reusable frameworks for data quality, lineage, and reconciliationPartner with solution architects and planning platform experts to ensure smooth integration and alignmentDocument technical solutions and support knowledge transfer to internal teamsEnsure security, compliance, and performance best practices are followed across the data stack #J-18808-Ljbffr
Created: 2025-09-17