Job Description
Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as 'Personal Cell' or 'Cellular' in the contact information of your application. At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Wells Fargo Technology is a team of more than 40,000 information technology and security professionals who help keep Wells Fargo at the forefront of America's diversified financial services companies. Employees execute an engineering-led IT strategy to deliver stable, secure, scalable and innovative services that provide Wells Fargo global customers 'round-the-clock' banking access through in-store, online, ATM, and other channels. Wells Fargo Technology plays a critical role in the company's customer and employee experience, business and risk management transformation, and growth agenda. This position will support the Cyber Security Defense & Monitoring organization. We are looking for an information security senior engineer to assist with design and development of automated frameworks used to manage multiple data pipelines in support of multiple information use cases. The ideal candidate will have hands on experience building data pipelines using Java, Python, and Spark – as well as experiencing managing data in HDFS, Hive, Solr, and Hbase. Experience working with multiple on premise Hadoop distributions is preferred (Hortonworks, Cloudera, MapR). Candidates should have a strong understanding of cluster technologies and clustered services. Experience working directly with information security datasets, metrics, and reporting is preferred. Responsibilities: - Build and support custom automated data pipelines
- Build and support frameworks for information security reporting and metrics
- Perform security peer reviews and code reviews and coach development teams on framework usage
- Consult with development teams to provide recommendations
- Partner with development teams to deliver solutions for specific big data use cases
- Provide recommendations and guidelines regarding the usage of the information security data platform
Required Qualifications
- 7+ years of information security applications and systems experience
- 6+ years of information technology applications and systems experience
- 7+ years of Java experience
- 5+ years of Hadoop experience
- 5+ years of Python experience
- 4+ years of Hadoop experience with Spark
- 2+ years of PySpark experience
- 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
- 5+ years of database experience in any two of the following platforms: Informix, PostgreSQL, MySQL, MongoDB, Progress, Couchbase or Hadoop
- 2+ years of MS SQL server experience
- 4+ years of experience in one or a combination of the following: data management, metrics & business intelligence, data warehouse
- 5+ years of secure SDLC (System Development Life Cycle) methodologies experience
- 4+ years of GitHub experience
Desired Qualifications
- BS/BA in computer science, applied statistics, quantitative economics, operations research or a related field
- Leadership skills including; coaching, training, and mentoring
- Knowledge and understanding of Tableau
Other Desired Qualifications
- 3+ years of Solr experience in Hadoop
- 3+ years of Hbase experience in Hadoop
- Experience with Arcadia Data or similar big data visualization tools
- Experience with multiple Hadoop distributions, especially Hortonworks and Cloudera
- Previous experience at Wells Fargo preferred
Disclaimer
All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.
Relevant military experience is considered for veterans and transitioning service men and women. Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.
|