Messiah College
Job Title: Azure Developer
Location:
Washington, DC Work Arrangement:
Hybrid onsite, 4 days onsite per week from Day 1 Premium Skills
Azure Cloud Services (PaaS and IaaS) SAP APO, SAP Fiori, SAP BPC, S/4HANA Required Qualifications
5+ years of experience in data engineering, with a focus on Azure Databricks Strong understanding of data modeling for planning and forecasting Experience with SAP BPC, including data structures, logic scripts, and planning process flows Hands-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 pipelines Experience working with cloud-based planning tools or their integration patterns Proficient in Python, SQL, and version control (e.g., Git) Strong analytical and communication skills Preferred Qualifications
Experience in finance, FP&A, or enterprise performance management (EPM) domain Prior involvement in BPC migration projects or cloud planning platform implementations Familiarity with cloud-based FP&A tools Key Responsibilities
Analyze current SAP BPC data models, processes, and integration points Design and implement scalable ETL/ELT pipelines in Azure Databricks for data extraction, transformation, and delivery Collaborate with SAP teams to extract actuals, plans, forecasts, and master data from SAP BPC Translate BPC logic into Databricks-based data models and logic Ensure accurate and timely data delivery to the new planning platform via APIs, flat files, or direct connectors Create reusable frameworks for data quality, lineage, and reconciliation Partner with solution architects and planning platform experts for smooth integration Document technical solutions and support knowledge transfer Follow security, compliance, and performance best practices across the data stack
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Location:
Washington, DC Work Arrangement:
Hybrid onsite, 4 days onsite per week from Day 1 Premium Skills
Azure Cloud Services (PaaS and IaaS) SAP APO, SAP Fiori, SAP BPC, S/4HANA Required Qualifications
5+ years of experience in data engineering, with a focus on Azure Databricks Strong understanding of data modeling for planning and forecasting Experience with SAP BPC, including data structures, logic scripts, and planning process flows Hands-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 pipelines Experience working with cloud-based planning tools or their integration patterns Proficient in Python, SQL, and version control (e.g., Git) Strong analytical and communication skills Preferred Qualifications
Experience in finance, FP&A, or enterprise performance management (EPM) domain Prior involvement in BPC migration projects or cloud planning platform implementations Familiarity with cloud-based FP&A tools Key Responsibilities
Analyze current SAP BPC data models, processes, and integration points Design and implement scalable ETL/ELT pipelines in Azure Databricks for data extraction, transformation, and delivery Collaborate with SAP teams to extract actuals, plans, forecasts, and master data from SAP BPC Translate BPC logic into Databricks-based data models and logic Ensure accurate and timely data delivery to the new planning platform via APIs, flat files, or direct connectors Create reusable frameworks for data quality, lineage, and reconciliation Partner with solution architects and planning platform experts for smooth integration Document technical solutions and support knowledge transfer Follow security, compliance, and performance best practices across the data stack
#J-18808-Ljbffr