Job Titel: Databrick Engineer
Location: Seattle, WA
Duration: 6 months
Job ID:
Role Description
• 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
Location: Seattle, WA
Duration: 6 months
Job ID:
Role Description
• 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