 
						Data Engineer – Databricks
5 days ago
Role Summary:
We are looking for a
Data Engineer
with expertise in
Azure Databricks
,
data transformation
, and
integration pipelines
to support forecasting, scheduling, and analytics flows in the WFM Re-Platform program.
Key Responsibilities
- Design and implement
 data pipelines
 in Azure Databricks for ingesting and transforming data from upstream systems (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.
Required Skills
- Strong experience with
 Azure Databricks
 (PySpark, Delta Lake).
- Proficiency in
 SQL
 and
 data modeling
 .
- Experience with
 Azure Data Lake
 , and
 Event Hub
 .
- Familiarity with
 data governance
 and
 security best practices
 .
- Ability to work with
 large datasets
 and optimize for performance.
- Familiarity with
 CI/CD
 (Jenkins and Terraform preferred).
- Knowledge of
 JSON, XML
 .
Nice-to-Have
- Experience with
 UKG Data Hub
 or similar HR/payroll data platforms.
- Knowledge of
 API integration
 and
 microservices
 .
- Familiarity with
 Power BI
 or other reporting tools.
- 
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