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Senior Hadoop Engineer (Information Security Senior Engineer)
Wells Fargo
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:
Required Qualifications Desired Qualifications Other Desired Qualifications
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