Software Engineer - Data Engineering/generative AI

Software Engineer

About this role:

Wells Fargo is seeking a Software Engineer. In this role, you will:

• Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts

• Identify opportunities for service quality and availability improvements within the technology domain environment

• Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments

• Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains

• Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements

• Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements

• Provide information to technology colleagues, internal partners, and stakeholders

Required Qualifications:

• 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 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 2+ years of experience working with any RDBMS

• At least 2+ years of experience in building big data pipelines.

• At least 2+ 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

Job Expectations:

• 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