Databricks with Workday Prism integration Exp.

• Design and implement scalable data pipelines using Databricks to ingest, transform, and load employee-related data into Workday Prism Analytics.
• Collaborate with HRIS, IT, and business stakeholders to understand data requirements and ensure accurate and timely data integration.
• Develop and maintain ETL/ELT processes using PySpark, SQL, and Databricks notebooks.
• Ensure data quality, consistency, and security across all integrated systems.
• Monitor and optimize performance of data pipelines and troubleshoot integration issues.
• Maintain documentation of data flows, transformation logic, and integration architecture.
• Support Workday Prism dataset creation, transformation, and reporting.
• Stay current with Workday and Databricks platform updates and best practices.

Required Qualifications:

• 3+ years of experience in data integration or data engineering roles.
• Hands-on experience with Workday Prism Analytics, including dataset creation and transformation.
• Proficiency in Databricks, Apache Spark, SQL, and Python.
• Experience integrating data from HR systems (e.g., Workday HCM, payroll, benefits platforms).
• Strong understanding of data governance, privacy, and compliance (e.g., GDPR, HIPAA).
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Azure or Google Cloud.
• Familiarity with Workday Studio or Workday EIBs.
• Knowledge of HR analytics and workforce planning metrics.