
Data Engineer – Databricks
2 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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