Information Technology_USA - USA_Engineer
Information Technology_USA - USA_Engineer
Posted on :
19-09-2025
Employer Active
1 Vacancy
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Job Description
**Please strictly adhere to the following resume naming convention:
ALL CAPS NO SPACES BETWEEN UNDERSCORES
Bill Rate:
PTNUSGBAMSREQIDCandidateBeelineID
Example: PTNUS9999999SKIPJOHNSON0413
MSP Owner: Michelle Lee
Location: Seattle WA
Duration: 6 months
GBaMS ReqID:
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
ALL CAPS NO SPACES BETWEEN UNDERSCORES
Bill Rate:
PTNUSGBAMSREQIDCandidateBeelineID
Example: PTNUS9999999SKIPJOHNSON0413
MSP Owner: Michelle Lee
Location: Seattle WA
Duration: 6 months
GBaMS ReqID:
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
Employment Type
Full-time
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