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Senior Datawarehouse Engineer - Hybrid Role
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Full-time
- Responsible for end-to-end data integration in the Azure platform, this includes all phases of integration development life cycle, requirements gathering, design, build, test, deploy and maintenance.
- Works in tandem with business analysts, data architect and data/BI engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration.
- Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.
- Manage and optimize Apache Spark pools for high-performance data processing tasks.
- Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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