In this role, you will:
- 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
Required Qualifications:
- 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 5+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of working experience in Data Ingestion, Data Curation, Data Extraction
- 4+ years in development of data pipelines/ETL for data ingestion, data preparation, data integration, data aggregation, feature engineering, etc
- Experience with Informatica, Talend or Ab Initio is required
- Experience with UNIX & PL-SQL scripting is required
- 5+ years of strong experience in relational DBMS platforms, (DB2 or Oracle)
- 5+ years of strong experience in SQL and Data Analysis. Data Modelling and strong query optimization skills.
- Strong understanding of unit testing, integration, functional and load testing.
- Ability to conduct code reviews with a focus on testability and code coverage.
- Should have experience working in an Agile environment using Scrum or Kanban.
- 4+ years of strong experience with Hadoop
- 2+ years of strong experience with Hive
- 4+ years of strong experience with Python
- 1+ years of experience with Kubernetes
- 1+ years of experience with Docker
- 1+ years of experience with Google Big Query
- 3+ years of experience with Autosys
- 2 years presenting to technical and executive audiences
- Good knowledge of non-relational DBMS platforms, (MongoDB or Neo4j)
- Good knowledge of real-time data streaming via Kafka
- Good knowledge of Cloud ecosystems such as Google Cloud Platform
- GCP Associate Cloud Engineer Certified is a plus
24 Apr 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.