Hybrid Data Engineer Real-time Pipelines & Ml-ready Data
Cornerstone OnDemand
Detroit, Michigan, US
About the Role
A global technology company is seeking a Data Engineer to work in a hybrid model. The ideal candidate has 3+ years of experience in SQL, proficiency in cloud data solutions such as AWS and Apache Spark, and is skilled in developing ETL processes. Responsibilities include building data pipelines, maintaining data infrastructure, and automating workflows. Strong communication and problem-solving skills are essential for partnering with data scientists and other teams to deploy machine learning models. #J-18808-Ljbffr
Responsibilities
- Build data pipelines
- Maintain data infrastructure
- Automate workflows
Qualifications
- 3+ years experience
- SQL
- Cloud data solutions (AWS) and Apache Spark
Required Skills
SQL
AWS
Apache Spark
ETL
data pipelines
Keywords
Data Engineer
Real-time
Pipelines
ML-ready
ETL
Interested in this role?
Apply now and take the next step in your career.
Job Overview
Date Posted
5 days ago
Location
Detroit, Michigan, US
Job Type
Full-time
Work Mode
Hybrid
Experience
3-5 years
Category
Data and analytics, Data engineering, Real time data pipelines
About the Company
C
Cornerstone OnDemand
Similar Jobs
C
Hybrid Data Engineer Real-time Pipelines & Ml-ready Data
Cornerstone OnDemand
Anchorage, Alaska
S
Hybrid Data Engineer for Real-time Ai Pipelines
SZNS Solutions
Reston, Virginia
Senior Data Engineer - Lakehouse & Real-time Pipelines
Versant Media
New York City, New York
M
Data Engineer
McKesson’s Corporate
Columbus, Ohio
H
Sr. Data Engineer
Honest Medical Group
Nashville, Tennessee
Senior Data Engineer - Etl/elt Pipelines (hybrid Remote)
Crown Equipment
New Bremen, Ohio