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Senior Data Engineer- ETL Engineer

Wells Fargo

Senior Data Engineer- ETL Engineer

full-timePosted: Sep 2, 2026Updated: Sep 3, 2026India, Bengaluru

Job Description

About this role:Wells Fargo is seeking a Senior Software Engineer specializing in enterprise‑scale ETL and data engineering. This role contributes to critical data initiatives, enabling secure, scalable analytics and business intelligence capabilities across the organization. We believe in the power of working together great ideas can come from anyone, and collaboration drives our success. Join us to grow your career in a supportive environment where you can learn, contribute, and excel. In this role, you will:Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverablesBuild and maintain optimized and highly available data pipelines that facilitate deeper analysis and reportingReview and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factorsOversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysisResolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirementsCollaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goalsRequired Qualifications:4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educationDesired Qualifications:Strong hands-on experience in ETL development using PySpark.Hands-on experience on Oracle.Proficiency in SQL (Oracle, SQL Server and/or Teradata).Experience with enterprise data warehousing concepts.Experience working in Agile Scrum model.Design, develop, test, debug, and document ETL processes and data warehouse enhancements.Build and enhance data flows to integrate information security and enterprise data sources into analytics and BI platforms.Develop ETL pipelines using PySpark, and optimize workflows for performance and scalability.Work with multiple data ingestion patterns including NDM file transfers, APIs, and direct database connections.Write efficient and optimized SQL (Oracle, SQL Server, Teradata) for transformations, validation, and reporting.Experience with Ab Initio ETL is a nice to have. Job Expectations:4+ years ETL development experience with hands-on PySpark development.3+ years of Oracle experience.Strong experience designing and optimizing complex SQL queries.Experience with operational reporting and data validation processes.Knowledge of Jira, GitHub and CI/CD practices.Experience troubleshooting ETL and production issues.Ability to work with diverse ingestion patterns: NDM files, APIs, direct DB connections.Work experience on Linux.Experience identifying requirements and translating them into technical specifications.Strong documentation and communication skills.Posting End Date: 3 Sep 2026*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells 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 DisabilitiesTo 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.

Locations

  • India, Bengaluru

Skills Required

  • ETL development using PySparkintermediate
  • SQLintermediate
  • enterprise data warehousing conceptsintermediate
  • Ab Initio ETL is a nice to haveintermediate

Required Qualifications

  • 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (experience, 4 years)
  • 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (experience, 4 years)
  • Strong hands-on experience in ETL development using PySpark. (experience)
  • Hands-on experience on Oracle. (experience)
  • Proficiency in SQL (Oracle, SQL Server and/or Teradata). (experience)
  • Experience with enterprise data warehousing concepts. (experience)
  • Experience working in Agile Scrum model. (experience)
  • Design, develop, test, debug, and document ETL processes and data warehouse enhancements. (experience)
  • Build and enhance data flows to integrate information security and enterprise data sources into analytics and BI platforms. (experience)
  • Develop ETL pipelines using PySpark, and optimize workflows for performance and scalability. (experience)
  • Work with multiple data ingestion patterns including NDM file transfers, APIs, and direct database connections. (experience)
  • Write efficient and optimized SQL (Oracle, SQL Server, Teradata) for transformations, validation, and reporting. (experience)
  • Experience with Ab Initio ETL is a nice to have. (experience)
  • Strong hands-on experience in ETL development using PySpark. (experience)
  • Hands-on experience on Oracle. (experience)
  • Proficiency in SQL (Oracle, SQL Server and/or Teradata). (experience)
  • Experience with enterprise data warehousing concepts. (experience)
  • Experience working in Agile Scrum model. (experience)
  • Design, develop, test, debug, and document ETL processes and data warehouse enhancements. (experience)
  • Build and enhance data flows to integrate information security and enterprise data sources into analytics and BI platforms. (experience)
  • Develop ETL pipelines using PySpark, and optimize workflows for performance and scalability. (experience)
  • Work with multiple data ingestion patterns including NDM file transfers, APIs, and direct database connections. (experience)
  • Write efficient and optimized SQL (Oracle, SQL Server, Teradata) for transformations, validation, and reporting. (experience)
  • a. Third-Party recordings are prohibited unless authorized by Wells Fargo. (experience)
  • b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. (experience)

Responsibilities

  • Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
  • Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
  • Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
  • Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
  • Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
  • Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals
  • Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
  • Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
  • Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
  • Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
  • Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
  • Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals

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