Hi,
The following requirement is open with our client.
Title : Workday Finance Data Engineer
Location : Troy, MI - Onsite
Duration : 12+ Months
Rate :$70/hr on W2
Position : W2 Position
Relevant Experience (in Yrs.):
Job Description:
Key Responsibilities
• Lead extraction of Workday Finance and HCM data with primary focus on Finance reporting and analytics use cases
• Design, develop and maintain Workday reports and APIs to support reliable data integrations
• Build and manage scalable ETL/ELT pipelines in Databricks, following Bronze, Silver and Gold Lakehouse patterns
• Manage Workday integration setup including Integration System Users, security domains and access controls
• Collaborate closely with Finance, HR and Analytics teams to deliver trusted, analytics-ready datasets
Required Skills
• Deep understanding of Workday Finance data structures and reporting concepts
• Hands-on expertise in Workday Reporting, RaaS, WQL and integration services
• Strong Databricks skills including PySpark, Spark SQL and Delta Lake
• Data integration and ETL best practices in cloud environments
• Advanced SQL, Python and data modeling skills
Must Have Experience
• Strong hands-on experience with Workday Financial Management modules including General Ledger, Accounts Payable, Accounts Receivable, Customer Invoicing, Supplier and Customer Master data
• Proven experience with Workday Reporting including RaaS (Reports-as-a-Service), custom reports, calculated fields and WQL for downstream data consumption
• 3+ years of experience building and optimizing data pipelines on Databricks using PySpark, Spark SQL and Delta Lake
• Strong SQL and Python skills with experience in enterprise-scale data modeling
• Experience working on cloud platforms, preferably Azure
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