Senior Software Engineer - Data Engineering/Generative AI at Wells Fargo

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Generative AI, Python, Java, Apache Spark, SQL, Big Data Pipelines, RDBMS, Unix Shell Scripting, GCP, Data Warehousing, CI/CD, LLMs, Data Modeling, Database Design, Agile

Industry

Financial Services

Description

About this role: Wells Fargo is seeking a Senior Software Engineer - Data Engineering/Generative AI In this role, you will: 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 Required Qualifications: 4+ 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 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 Job Expectations: 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 Posting End Date: 9 Apr 2026 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. 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. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 34 on Fortune’s 2024 rankings of America’s largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health, and a low-carbon economy. News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories. Additional information may be found at www.wellsfargo.com LinkedIn: https://www.linkedin.com/company/wellsfargo For questions on how to search and apply, visit our frequently asked questions.

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Responsibilities

Lead complex data engineering and generative AI initiatives while designing, coding, and testing technical solutions. Collaborate with peers and provide guidance to staff to resolve technical challenges and meet client needs.