Lead Big Data Engineer

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 1 Year(s)

Skills

PM
Big Data
Cloud platforms
AWS
GCP
big data platform
Data sources

Job Details

Lead Big Data Engineer

Contract

Location: Wayzata campus -  Onsite MUST- 3 Days/week

Direct Client

Will design, build and operate high performance data centric solutions utilizing the comprehensive big data capabilities for the company s data platform environment.

In this role, you will act as an authority for data access pathways and techniques working with analysts within the functional data analytics team.

You will design data structures and pipelines to collect data and design and implement data transformations, combinations or aggregations.

Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.

 

Other duties as assigned:

Help drive the adoption of new technologies and methods within the functional data and analytics team and be a role model and mentor for data engineers.

Build prototypes to test new concepts and be a key contributor of ideas and code that improve the core software infrastructure, patterns and standards.

Provide necessary technical support through all phases of solution life cycle.

Perform data modeling and prepare data in databases for use in various analytics tools and configurate and develop data pipelines to move and optimize data assets.

Develop technical solutions utilizing big data and cloud-based technologies and ensuring they are designed and built to be sustainable and robust.

Participate in the decision-making process related to architecting solutions.

Collaborate with businesses, application and process owners, and product team members to define requirements and design solutions for the company s big data and analytics solutions.

 

Minimum Qualifications:

Bachelor's degree in a related field or equivalent experience

Four years of related work experience.

 

Preferred Qualifications:

  • Experience developing data or software applications including analysis, design, coding, testing, deploying and supporting of applications.
  • Experience working with big data platform.
  • Experience with reporting tools and data sources.

 

 

 

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