Data Engineer
3B Staffing LLC, Chandler, AZ, United States
Required Qualifications:
4 plus years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Minimum 4 years of handon experience with:
Building data pipeline using bigdata stack (Hadoop, Hive, pySpark, python)
Amazon AWS S3 - Object storage, security, data service integration with S3
Data modelling and database design.
Job Scheduler - Autosys
PowerBI, Dremio
Unix/shell scripting, CICD pipeline
Exposure in GCP cloud data engineering is a plus.
Note:
Manager Notes:
The candidates need to be proactive; they can't wait to be told what to do
Must be accountable along with the technical skills
The tech stack mentioned, these are the technologies being used to build data pipelines
They need to model, design the data, build pipelines, applying logic to the data to transform the data and troubleshoot
They should have a strong understanding and implementation of Autosys
Ability to automate using spark, Python, Hadoop/Hive
Should have a fundamental background in database design (MySQL or any standard database)
Exposure to Cloud data engineering is a big plus, not required
Financial services experience is a plus, but not requiredhaving domain knowledge is helpful
Technical Assessment:
Client needs a clear understanding of tech work experience; they need to be able to describe the work they have done
Overall problem solving, so given a problem how efficiently does their thought process drive towards a solution?
PART OF THE PILOT PROGRAM:
Duration: 24month contract with possible conversion to FTE
Location:
Chandler, AZ only option
3 days a week in office.
4 plus years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Minimum 4 years of handon experience with:
Building data pipeline using bigdata stack (Hadoop, Hive, pySpark, python)
Amazon AWS S3 - Object storage, security, data service integration with S3
Data modelling and database design.
Job Scheduler - Autosys
PowerBI, Dremio
Unix/shell scripting, CICD pipeline
Exposure in GCP cloud data engineering is a plus.
Note:
Manager Notes:
The candidates need to be proactive; they can't wait to be told what to do
Must be accountable along with the technical skills
The tech stack mentioned, these are the technologies being used to build data pipelines
They need to model, design the data, build pipelines, applying logic to the data to transform the data and troubleshoot
They should have a strong understanding and implementation of Autosys
Ability to automate using spark, Python, Hadoop/Hive
Should have a fundamental background in database design (MySQL or any standard database)
Exposure to Cloud data engineering is a big plus, not required
Financial services experience is a plus, but not requiredhaving domain knowledge is helpful
Technical Assessment:
Client needs a clear understanding of tech work experience; they need to be able to describe the work they have done
Overall problem solving, so given a problem how efficiently does their thought process drive towards a solution?
PART OF THE PILOT PROGRAM:
Duration: 24month contract with possible conversion to FTE
Location:
Chandler, AZ only option
3 days a week in office.