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Data Engineer

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
United States

Offer summary

Qualifications:

3-5 years of Azure experience, Data Factory pipelines, Databricks, Spark experience, SQL and Python skills.

Key responsabilities:

  • Setting up Databricks jobs with Spark
  • utilizing SQL queries for data manipulation
Intellisoft Technologies logo
Intellisoft Technologies SME https://www.intellisofttech.com/
51 - 200 Employees
About Intellisoft Technologies
IntelliSoft Technologies, Inc. was founded in 1997 and specializes in providing software products & integrated solutions to Fortune 500 clients. IntelliSoft leverages CMMI Level 3, ISO, and ITIL best practices to deliver full software development life cycle support to our customers. From vendor neutral perspective we help our clients to evaluate, select and integrate leading edge technologies.Our product portfolio includes Datamorphix.ai - Conversational Analytics AI PlatformEdbrix.com - Enterprise learning management platformHrchex.com - Background Checks & Human Capital Management PlatformOrionox.com - Enterprise VOIP Platform
See more Intellisoft Technologies offers

Job description

immediate backfill opening I have at Health Care Company/Optum? The candidate who was previously in the role had a background working on Azure and AWS. His most recent project was not Azure and on AWS, but he was basically gathering batch data and creating jobs/pipelines in Databricks and streaming it.

Candidates must be on your W2.

Company: Health Care Company/Optum

Position: Data Engineer

Location: 100% Remote

Duration: 6+ month

  • 3-5 years of experience working on Azure.
  • Data Factory pipelines
  • Strong Databricks and Spark experience
    • Setting up jobs in Databricks and using Spark
  • SQL query experience
  • Python development
  • Scala and R development is a plus

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Amazon Web ServicesSQL (Programming Language)Scala (Programming Language)R (Programming Language)SparkrData PipelinesDatabricksMicrosoft AzurePython (Programming Language)
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