BIG DATA ENGINEER (contract) at Wells Fargo
Chandler, AZ 85286, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

01 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Database Design, Hadoop, Mysql, Automation, Python, Data Engineering, Security, Hive, Autosys, Service Integration

Industry

Information Technology/IT

Description

Title: Big Data Engineer
Location: 2600 S Price Rd Chandler, AZ
Duration: 24 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

SUMMARY:

In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering.

QUALIFICATIONS:

  • Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
  • Experience building data pipelines and automation using big-data stack (Hadoop, Hive, PySpark, Python)
  • Amazon AWS S3 – Object storage, security, data service integration with S3
  • Strong understanding and implementation of Autosys
  • Experience with PowerBI & Dremio
  • Experience with Unix/shell scripting, CICD pipeline
  • Fundamental background in database design (MySQL or any standard database)
  • Exposure to Cloud data engineering (GCP cloud, or other platforms) (preferred)
  • Previous experience in financial services experience (preferred)
Responsibilities
  • Utilize the tech stack below to build data pipelines
  • Model and design the data
  • Build data pipelines
  • Applying logic to the data to transform the data and troubleshoot
  • Implementation and automation of the data
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