Data Engineer- AWS/Hadoop/Python -Only w2 & Strictly Onsite only.

Position is STRICTLY W2 ONLY

Minimum 4 years of hand on experience with

• Building data pipeline using big-data 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 Google Cloud Platform cloud data engineering is a plus

Manager Notes:

• The contractors 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 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 required-having domain knowledge is helpful

Technical Assessment
-We need 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?

Location: Chandler, AZ only option
3 days a week in office