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Wells Fargo is seeking a Senior Software Engineer - Data Engineering/Generative AI
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