Senior Data Engineer (Senior Software Engineer)

at  Wells Fargo

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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

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
• 2+ years of experience in ETL in big data tech stack such as Apache Spark, Hadoop or Hive
• 2+ years of experience in data engineering using Pyspark/Python, Hadoop, Hive, Scala
• 2+ years of RDBMS/Database experience
• 1+ year of experience on UNIX/Shell scriptin

Desired Qualifications:

• 2+ years experience on batch processing tools such as Autosys
• Experience working in Dremio
• Experience in any cloud data engineering (Azure/GCP/AWS

Wells Fargo is seeking a Senior Data Engineer (internal title: Senior Software Engineer) as part of the Credit Risk Technology Team who will play a critical role in credit risk data platform modernization and be responsible for developing technology solutions supporting complex business processes including transformation of data, data modelling, reporting, analytics, and workflow needs of the Credit Risk organization. Learn more about the career areas and lines of business at wellsfargojobs.com.

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
• 2+ years of experience in ETL in big data tech stack such as Apache Spark, Hadoop or Hive
• 2+ years of experience in data engineering using Pyspark/Python, Hadoop, Hive, Scala
• 2+ years of RDBMS/Database experience
• 1+ year of experience on UNIX/Shell scripting

Desired Qualifications:

• 2+ years experience on batch processing tools such as Autosys
• Experience working in Dremio
• Experience in any cloud data engineering (Azure/GCP/AWS)

Job Expectations:

• This position is not eligible for Visa sponsorship
• This position offers a hybrid work schedule