Design and implement data pipelines in Azure Databricks for ingesting and transforming data from upstream systems, including SAP, PIPS, POS into WFM and UKG
Optimize ETL/ELT workflows for performance and scalability
Collaborate with Java/API developers to integrate event-driven triggers into data pipelines
Implement data quality checks, schema validation, and error handling
Support batch and near-real-time data flows for both operational and analytics use cases
Work with Boomi and WFM teams to ensure data contracts and canonical models are enforced
Essential Skills
Design and implement data pipelines in Azure Databricks for ingesting and transforming data from upstream systems, including SAP, PIPS, POS into WFM and UKG
Optimize ETL/ELT workflows for performance and scalability
Collaborate with Java/API developers to integrate event-driven triggers into data pipelines
Implement data quality checks, schema validation, and error handling
Support batch and near-real-time data flows for operational and analytics use cases
Work with Boomi and WFM teams to ensure data contracts and canonical models are enforced
Desirable Skills
Digital : Databricks
Experience Required
8-10
Numbers & Facts
Location
Washington, DC
Skills
Application Programming Interface (API)unmatched
Data Managementunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
Error Handlingunmatched
Javaunmatched
Microsoft Windows Azureunmatched
Operational Auditunmatched
SAPunmatched
Use Casesunmatched
Validation Testingunmatched
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