Remote - Azure Databricks Engineer

Remote, Work from Home Remote Work from Home 00000

Date : Jan-16-25

Remote - Azure Databricks Engineer

Remote, Work from Home

Jan-16-25

Work Authorization

US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)

Preferred Employment

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

Job Details

Experience

:

Architect

Rate/Salary ($)

:

USD 65 / Hourly / Contract

Duration

:

3 Months with extension

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

Remote Work from Home

Required Skills :

Databricks, Python, Spark, Scala, SQL

Preferred Skills :

Domain :

IT/Software

Work Authorization

US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B

Preferred Employment

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

Job Details

Experience

:

Architect

Rate/Salary ($)

:

USD 65 / Hourly / Contract

Duration

:

3 Months with extension

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

Remote Work from Home

Required Skills :

Databricks, Python, Spark, Scala, SQL

Preferred Skills :

Domain : IT/Software

Apply Now

Sage IT INC
Frisco, TX
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Job Description :

Job Description:

The Senior Data Engineer will be responsible for the build of Enterprise Data platform.
Setting up the data pipelines that are scalable, robust and resilient and build pipelines to validate, ingest, normalize/enrich and business-specific processing of healthcare data.
Build Azure Data Lake leveraging Databricks technology to consolidate all data across the company and serve the data to various products and services.
The scope of this role will include working with engineering, product management, program management and operations teams in delivering pipeline platform, foundational and application-specific pipelines and building the Data Lake in collaboration with business and other teams.

Responsibilities

Design, Develop, Operate and drive scalable and resilient data platform to address the business requirements
Drive technology and business transformation through the creation of the Azure Data Lake
Ensure industry best practices around data pipelines, metadata management, data quality, data governance and data privacy
Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings; assist with the Leadership and collaboration with engineering organizations within Change to manage and optimize the portfolio

Required Skills

10+ years working experience in Data processing
4+ years working experience in Databricks (essential) and Python
Experience with Cloud / Azure architectural components
Experience building data pipelines and infrastructure
Deep understanding of Data warehousing concepts, reporting and Analytical concepts
Experience with Big Data tech stack, including Spark, Scala, and SQL
Bachelor's degree in Mathematics, Physical Sciences, Engineering or Computer Science

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