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Wells Fargo is seeking a Senior Software Engineer (Data Engineering/Generative AI). The Finance Technology Team within Enterprise Functions Technology (EFT) is seeking a Lead Software Engineer to join our Profit View team at Wells Fargo. As a Senior Software Engineer in the Profit View Data Engineering team, candidate will play a pivotal role in the design, development, and maintenance of our metadata-driven data engineering frameworks. Candidate will work independently to deliver critical project tasks, focusing on building, enhancing, and troubleshooting robust data pipelines, APIs, Gen AI solutions and wrapper capabilities for the Profit View project. This role is essential for ensuring best development practices and strong validations during, Modernization of our current tech stack, and Gen AI solution that we are building. Candidate will collaborate with cross-functional teams to drive the implementation of scalable, high-performance data solutions using Python, Java, Gen AI, SQL, Apache Spark, Iceberg, Dremio, Power BI and Autosys. Enterprise Finance & Technology is a collaborative, cross-functional, Agile organization that is looking for independent thinkers willing to drive innovative solutions for business problems through Gen AI, data delivery and data management.
Job Responsibility:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Demonstrate in-depth understanding of Data Warehousing (DWH) concepts
Strong experience in large data transformation projects
Experience designing and optimizing solutions for high-volume batch processing
Good experience on Unix Shell scripting
At least 4 years of experience working with any RDBMS
At least 4 years of experience in building big data pipelines
At least 3 years of experience working with Apache Spark, Java, Hive, Hadoop and GCP
At least 2+ years of experience in using LLMs for automation
Strong experience with programming in Python, Java, SQL and good understanding of bash scripting for data processing and automation
Hands-on experience with Apache Spark for large-scale data processing
Experience with Autosys or similar job scheduling/orchestration tools
Experience in working with CI/CD pipelines, improving code coverage and vulnerability remediation
4+ years of experience in Agile mode of working
Decent understanding on workings of Rest APIs, Dremio and Object store
Proven ability to independently deliver complex project tasks and solutions
Solid understanding of data engineering best practices, including validation and quality assurance
Excellent troubleshooting and problem-solving skills
Proficiency in data modeling and database design
Experience in working with Open table formats like (Iceberg, Delta)
Knowledge of data governance, security, and compliance requirements
Hands on Experience with GenAI use cases
Experience with cloud data platforms (e.g., AWS, Azure, GCP)
Exposure to financial services or Commercial and corporate investment banking domains