Full Stack Data Engineer

 Hot Requirement | Full Stack Data Engineer (Workday ERP + Databricks)
📍 Location: Troy, MI
📅 Duration: 12 Months
💰 Rate: $60/hr on C2C
🔥 Immediate Need for Strong Workday + Databricks Professionals

Client is looking for highly skilled Data Engineers with deep expertise in Workday Financials + Databricks Lakehouse.

🎯 ⭐ CLIENT IS SPECIFICALLY LOOKING FOR (MUST HAVE):

👉 Workday Financial Management (Core Focus)
General Ledger (GL)
Accounts Payable (AP) / Accounts Receivable (AR)
Customer Invoicing
Supplier & Customer Master Data

👉 Workday Reporting Expertise
RaaS (Reports-as-a-Service)
Custom Reports & Calculated Fields
WQL (Workday Query Language)

👉 Workday Integration (Critical Skill)
REST & SOAP APIs
Security & Authentication
Incremental Data Extracts

👉 Databricks (Hands-on Experience Required)
PySpark & Spark SQL
Delta Lake
Data Pipelines (3+ Years)

👉 Strong Programming & Data Skills
Advanced SQL
Python
Enterprise Data Modeling

👉 Cloud Experience (Preferred)
Azure (Highly Preferred)

💼 Key Responsibilities:
✔️ Extract Workday Finance & HCM data for reporting & analytics
✔️ Build & manage scalable ETL/ELT pipelines in Databricks
✔️ Implement Bronze, Silver, Gold Lakehouse architecture
✔️ Develop Workday reports, APIs & integrations
✔️ Ensure data quality, monitoring & error handling
✔️ Manage Workday security, ISU & access controls
✔️ Collaborate with Finance, HR & Analytics teams

👤 Ideal Candidate:
✅ 8+ Years Data Engineering experience
✅ Strong Workday Finance + Reporting background
✅ Hands-on Databricks + PySpark expertise
✅ Experience with enterprise-level integrations