Azure Data Engineer

Title: Data Engineer

Duration: 12 Months - Long Term

Location: Washington, DC 20433

Hybrid Onsite: 4 Days onsite per week from Day1

Premium Skill:

Azure Cloud Services (PaaS and Iaas)

SAP APO, SAP Fiori, SAP BPC, S/4 Hana

Required Qualifications:

• 5+ years of experience in data engineering, with a strong 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 the current SAP BPC data models, processes, and integration points.
• Design and implement scalable ETL/ELT pipelines in Azure Databricks to support data extraction, transformation, and delivery to the new planning platform.
• Collaborate 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 logic.
• Ensure accurate and timely data delivery from Databricks to the new cloud 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 to ensure smooth integration and alignment.
• Document technical solutions and support knowledge transfer to internal teams.
• Ensure security, compliance, and performance, best practices are followed across the data stack.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.