Home

Data Engineer - Databricks -ONSITE ROLE -Local to AUSTIN ONLY - min 10+ years at Austin, Texas, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2323371&uid=

From:

Sbabu,

intellecttechsolutions

[email protected]

Reply to:   [email protected]

Role: Data Engineer - Databricks - ONSITE ROLE - Local to AUSTIN ONLY
Note: Need architect level candidates 

JD:
A data scientist (big data engineer) is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs and builds AI tools that automate certain processes within the company.
Data engineer needed for Fraud Analytics roadmap implementation, including standing up new data engineering practices and supporting data analysts and data scientists.  
CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Skill in designing, building, and managing efficient, scalable, and reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.

Keywords: artificial intelligence information technology
Data Engineer - Databricks -ONSITE ROLE -Local to AUSTIN ONLY - min 10+ years
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2323371&uid=
[email protected]
View All
07:14 PM 08-Apr-25


To remove this job post send "job_kill 2323371" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.


Your reply to [email protected] -
To       

Subject   
Message -

Your email id:

Captcha Image:
Captcha Code:


Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]


Time Taken: 1

Location: ,