Software Engineer - Data Engineering/Generative AI

Actively Reviewing the Applications

Wells Fargo

India, Telangana Full-Time

Posted 1 week ago • Apply by June 16, 2026

Job Description

About This Role

Wells Fargo is seeking a...

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

2+ 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

Reference Number

R-529895