Lead Data Engineer (#002306 Multiple Positions Available)

Wells Fargo & Company•Charlotte, NC

7d•Hybrid

About The Position

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. 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 (#002306 Multiple Positions Available) in Charlotte, NC. Job Role and Responsibility: 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. Telecommuting is permitted. Must report in person to the location listed as the work location weekly. Multiple positions available. Travel required: 0%

Requirements

Degree required: Bachelor's degree in Computer Science, Electrical and Computer Engineering, Electronic Engineering, Information Systems, Information Technology, or related technical field.
Amount and type of experience required: 5 years of experience in the job offered or in a related position involving database engineering experience.
Must possess 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, MicroStrategy Intelligence Server, or 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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