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ALERT - To ensure we continue to fulfill our role as a provider of vital services to the public, we are still hiring and continue to recruit top talent to Wells Fargo. However, we have adjusted our hiring practices due to the COVID-19 situation and the related social distancing guidelines. As a result, throughout your application process, you may be asked to connect with us virtually. We encourage you to check our job postings regularly for updates and additions. Learn what Wells Fargo is doing during the COVID-19 crisis to support our employees and protect our customers through enhanced cleaning, social distancing in bank branches, remote work arrangements, benefit changes, and more.

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Software Engineer RWF

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Job ID 69787BR

About Wells Fargo


Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 20 countries and territories. Our business outside of the U.S. mostly focuses on providing banking services for large corporate, government and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace. Our global reach offers many opportunities for you to develop a career with Wells Fargo. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Market Job Description


  • Required Qualifications

  • Create and manage reusable frameworks for data engineering and establish architecture patterns for data engineering across traditional and big-data solutions
  • Proven hands-on development expertise in Data warehousing ETL stack and Big Data Hadoop technology stack including Hadoop, Hive, Python, Java/Scala, SPARK, Tableau, AtScale etc.
  • Ability to conduct technical training sessions for technical and line of business users
  • Collaborate with Enterprise Data organization on supplying and governing Consumer Lending data going into the Enterprise Data Lake
  • Establish processes and tools to support consistency, lineage, collection, processing, sharing, and organization of data across entire Consumer Lending portfolio

  • Desired Qualifications

  • A Bachelor’s degree or higher in computer science or engineering
  • 3+ years of experience with Agile practices
  • 5+ years’ experience with Data architecture, design, and management
  • Excellent analytical & interpersonal skills.
  • Ability to work in a team.
  • Ability to multi-task in a fast-paced environment.
  • Demonstrated ability in communications (written & spoken) and problem resolution

  • Preferred Qualifications
  • 7+ years of software engineering experience especially in Data & Analytics domain
  • 5+ years of technical leadership or architecture experience, in a data and technical environment
  • End-to-End data, analytics and machine learning technology and business acumen including Data Warehousing, ODS, Big Data platforms and related technology stack such as SQL Server, SSIS ETLs, Cloudera, Python, Spark, Hive and cloud native data capabilities.
  • Preferred experience in the Data Engineering, Data Management, SQL Server, SSIS ETL, Tableau
  • Ability to implement data and analytics capabilities and mindset at scale
  • 7+ years of software engineering experience especially in Data & Analytics domain
  • 5+ years of experience leading in the Data Engineering, Data Management, SQL Server, SSIS ETL, Tableau
RWF


Market Skills and Certifications


  • Required Qualifications
  • Create and manage reusable frameworks for data engineering and establish architecture patterns for data engineering across traditional and big-data solutions
  • Proven hands-on development expertise in Data warehousing ETL stack and Big Data Hadoop technology stack including Hadoop, Hive, Python, Java/Scala, SPARK, Tableau, AtScale etc.
  • Ability to conduct technical training sessions for technical and line of business users
  • Collaborate with Enterprise Data organization on supplying and governing Consumer Lending data going into the Enterprise Data Lake
  • Establish processes and tools to support consistency, lineage, collection, processing, sharing, and organization of data across entire Consumer Lending portfolio

  • Desired Qualifications
  • A Bachelor’s degree or higher in computer science or engineering
  • 3+ years of experience with Agile practices
  • 5+ years’ experience with Data architecture, design, and management
  • Excellent analytical & interpersonal skills.
  • Ability to work in a team.
  • Ability to multi-task in a fast-paced environment.
  • Demonstrated ability in communications (written & spoken) and problem resolution

  • Preferred Qualifications
  • 7+ years of software engineering experience especially in Data & Analytics domain
  • 5+ years of technical leadership or architecture experience, in a data and technical environment
  • End-to-End data, analytics and machine learning technology and business acumen including Data Warehousing, ODS, Big Data platforms and related technology stack such as SQL Server, SSIS ETLs, Cloudera, Python, Spark, Hive and cloud native data capabilities.
  • Preferred experience in the Data Engineering, Data Management, SQL Server, SSIS ETL, Tableau
  • Ability to implement data and analytics capabilities and mindset at scale
  • 7+ years of software engineering experience especially in Data & Analytics domain
  • 5+ years of experience leading in the Data Engineering, Data Management, SQL Server, SSIS ETL, Tableau


We Value Diversity


At Wells Fargo, we believe in diversity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We comply with all applicable laws in every jurisdiction in which we operate. 69787
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