Senior Data Engineer

Role Description: The Senior Data Engineer must have 10+ years of experience. You must have extensive Supply Chain Management and SCM Data Sets experience.

Required Experience and Skills:

• Experience in engineering within a data warehouse or related experience with dimensional data modeling.

• Experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.

• Experience with Supply Chain data, including logistics, inventory, procurement, and manufacturing.

• Managing a team and handling performance reviews, annual reviews etc.

• Proven ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.

• Experience with reading and writing SQL.

Key Take Aways and Key Responsibilities for the Project:

• Strong Dimensional Data Modeling experience building DWs is critical.

• Will be overseeing a team of 3 internal resources comprised of data analyst and jr. Data Engineers plus eight external resources.

• Time spent is about 50% managing and 50% Development, fixing fires, managing issues etc.

• The management is not just being a lead; it is direct supervision. i.e., annual reviews. This is all about data sets in Supply Chain. Demand planning, sales planning etc.

• They are Agile and this role is responsible for setting up and running the two-week sprints.

Education: Bachelor's degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent

Experience: Minimum 10+ years of experience

This is a direct hire position, and the hired applicant will receive our client's benefits package.