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Wells Fargo
Wells Fargo

Leading company in the financial services industry

Software Engineer - Data Engineering/Generative AI

직무데이터 엔지니어링
경력미들급
위치Hyderabad, India
근무오피스 출근
고용정규직
게시1주 전
지원하기

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

Posting End Date:

26 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.

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Wells Fargo 소개

Wells Fargo

Wells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.

10,001+

직원 수

San Francisco

본사 위치

$163B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

3.8

보상

3.2

문화

3.9

커리어

3.1

경영진

3.4

72%

지인 추천률

장점

Good benefits and health coverage

Flexible schedules and work arrangements

Supportive team environment

단점

Limited career advancement opportunities

High stress and overwhelming workload

Poor management and lack of direction

연봉 정보

16개 데이터

Mid/L4

Senior/L5

Mid/L4 · Lead Analytics Consultant

1개 리포트

$151,878

총 연봉

기본급

$116,064

주식

-

보너스

-

$151,878

$151,878

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

21-35주

합격률

25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience