Lead Data Engineer (#000489)
Wells FargoResponsibilities
- Design scalable data pipelines and high-performing data platforms using Hadoop, Ab Initio, Exadata, and cloud-based solutions.
- Design data services supporting Strategic Enterprise Risk Management and create data models and structures for application and platform integration.
- Lead complex modeling and analysis efforts across multiple business domains and support business intelligence and reporting needs.
- Write and optimize SQL queries for data analysis and troubleshooting.
- Maintain data architecture for multiple applications using established software architecture principles.
- Gather technical and business requirements, scope projects, and lead design efforts through production implementation.
- Research and resolve production issues to support system stability and data integrity.
- Collaborate with engineering, product, and internal business leadership on high-risk data engineering challenges.
- Serve as a technical resource and mentor to data engineering staff during design, testing, and implementation.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Five years of experience in the job offered or in a related position involving software engineering experience.
- Experience designing and building scalable data pipelines with Hadoop, Ab Initio, Exadata, and cloud platforms.
- Experience performing complex data modeling and analysis in a data warehouse environment.
- Strong experience writing and optimizing SQL queries for data analysis and troubleshooting.
- Hands-on experience with distributed computing frameworks and big data tools for large-scale data processing.
- Experience implementing data services and platforms in AWS, Azure, or GCP cloud environments.
- Ability to design data services supporting Strategic Enterprise Risk Management functions.
- Ability to make decisions in complex data engineering scenarios involving multifaceted data relationships.
- Experience collaborating with engineering, product, and internal business teams to resolve high-risk data challenges.
- Experience leading multiple modeling and analysis efforts with broad organizational impact.
- Ability to act as a technical resource and mentor to data engineering staff.
Benefits
- Telecommuting is permitted up to two days per week, with in-person work required at the listed Irving, Texas location.
- Travel required is 0%.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with approximately $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through more than 7,300 locations, 12,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in over 40 countries and territories to support customers who conduct business in the global economy. With approximately 250,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 41 on Fortune’s 2022 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories. Relevant military experience is considered for veterans and transitioning service men and women. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.© 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.