Lead Data Engineer (#001992 Multiple Positions Available)

Wells Fargo BankRaleigh, NC
Hybrid

About The Position

Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers. Wells Fargo Bank N.A. seeks a Lead Data Engineer in Raleigh, NC.

Requirements

  • Bachelor's degree in Computer Science, Electrical and Computer Engineering, Electronic Engineering, Information Systems, Information Technology, or related technical field.
  • 5 years of experience in the job offered or in a related position involving database engineering experience.
  • 5 years of experience with at least 7 of the skills below: SDLC; Experience with one of the following databases: Oracle, MS SQL, Teradata, Mongo DB, or DB2; Experience with Agile methodologies; Application Programming Interface (API) or User Interface (UI) design and development; Experience in application or software security including web application penetration testing, secure code review, or secure static code analysis; Data modeling, database design, and data lake architecture including T-SQL queries; Experience in executing IT projects; Experience in JIRA; Splunk; Experience with Application Control Logging tools; Experience with Maven, Oracle, or SVN; Experience in application performance, monitoring and optimization tools Jmeter or Splunk; Experience with ETL (Extract, Transform, Load) tools; Experience with Microservices; Experience with Apache Tomcat; Experience in data analysis, data extraction/manipulation and loading routines using SQL, Teradata, database structures or data warehouses; Experience with Tableau; Experience with OBIEE; Experience with MicroStrategy Desktop; Experience with MicroStrategy Intelligence Server; Experience with MicroStrategy Web Server; Experience with Ab Initio; Experience in ETL (Extract, Transform, Load) Programming experience; Data warehouse experience; Experience with Unix; Retail banking application development experience.

Responsibilities

  • Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area.
  • Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership.
  • Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change.
  • Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges.
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