Azure Databricks Engineer

Ashburn, VA Ashburn VA 20147

Date : May-08-25

Azure Databricks Engineer

Ashburn, VA

May-08-25

Work Authorization

US Citizen
GC
H1B
GC EAD, TN EAD, H4 EAD, L2 EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Midlevel

Rate/Salary ($)

:

Market

Duration

:

12 Months

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

H1B OK

Third Party OK

Required Skills :

Windows Azure, Continuous deployment, Spark, API, Cluster, Deployment, DevOps, ETL, Security

Preferred Skills :

Domain :

IT/Software, HealthCare, Pharmaceuticals

Work Authorization

US Citizen
GC
GC EAD, TN EAD, H4 EAD, L2 EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Midlevel

Rate/Salary ($)

:

Market

Duration

:

12 Months

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

H1B OK

Third Party OK

Required Skills :

Windows Azure, Continuous deployment, Spark, API, Cluster, Deployment, DevOps, ETL, Security

Preferred Skills :

Domain : IT/Software, HealthCare, Pharmaceuticals

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Spk Technologies inc
Livermore, CA
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Job Description :

PositionID: 64002533

Client: Gainwell Technologies

Position: Azure Databricks Engineer

Responsibilities:

Data pipeline Development: Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Azure Data Factory, and other Azure services.
Data Processing: Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks.
Integration: Integrate data from various sources, such as databases, APIs, and streaming data, into the Databricks environment, often using tools like Azure Data Factory or Databricks Workflows.
Performance Optimization: Enhance the performance of data processing tasks by optimizing Spark jobs, managing cluster resources, and implementing best practices for data storage and retrieval.
Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the solutions meet business needs.
Data Governance: Implement data governance policies and ensure data security and compliance with relevant regulations.

CI/CD Integration: Utilize Azure DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure.

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