Data Lake Architect 238461

job
  • Medix™
Job Summary
Location
Chicago ,IL
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
25 Jan 2025
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Job Description

Job Title : Data Lake Architect (Data Bricks)

Duration: 6+ months Contract, could be extended

Work Location: 100% Remote - CST hours

Compensation Starting: $65-70/hr W2


ABOUT OUR CLIENT / ABOUT THIS ROLE

Medix is currently seeking a Data Lake Architect for a long-term contract opportunity with one of our relocation services clients in the Illinois area.


They are growing significantly through merger and acquisition activity. This Data Architect will support the merger and transition from SQL on prem data to their cloud environment.


Day to Day:

  • Weekly basis they meet within project teams to indicate where they are with integration
  • Task day to day, transitioning that potential package to data factory or dealing with additional integration work with legacy SQL source to their target
  • A lot of it is (they have a list of tables, tackle the list one by one) - make sure coding is appropriate, that data is flowing to downstream components, creating data factory processing to move data around
  • All tracked within DevOps
  • Mapping and merging data (those mapping documents will show new system and old system)


3-5 Must Have Skills/Qualifications

  • 7+ years of experience with Data Architecture
  • Microsoft Stack experience
  • Azure cloud experience
  • DevOps experience as that is where they are tracking things from a code deployment standpoint
  • Azure Data Factory and Data Bricks skills
  • SSIS skills (understanding of code that is involved in SSIS packages)
  • Experience and skills with transitioning and shifting data and an environment from an on prem server to cloud


Why is this position open?

All data is on prem

  • They are moving data to the cloud - they are migrating that data to a cloud structure that already exists in the cloud
  • Take old data and old format and move that to cloud environment - but not direct lift and shift, it’s more evaluating the old data and making sure it is optimized to be able to run in a cloud environment efficiently


No travel required


Start? ASAP for right person

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