Job Description

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MSP Owner: Michelle Lee
Location: Seattle, WA
Duration: 6 months
GBaMS ReqID: 10275617

Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files.
Develop and support data pipelines within a Cloud Data Platform, such as Databricks Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves.
Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization.
Demonstrate ability to communicate technical concepts to non-technical audiences both in written and verbal form.
Demonstrate strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.).
Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning.
Automate CICD pipelines for data workflows using Azure DevOps.
Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog

Job Tags

Flexible hours,

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