24 days old

Sr. Hadoop Administrator

Phoenix, AZ 85003
  • Job Code
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. Were looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where youll 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 sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargos more than 70 million global customers.

This is a Senior Hadoop Administrator position responsible for building and managing a world-class big data platform for enterprise data lake in the Enterprise Information Technology group at Wells Fargo.

The Enterprise Data Lake is a core enterprise capability that enables key initiatives that drives the Companys data transformation, analytics agenda, digitization of products and services, regulatory compliance, and etc. At the center of the Enterprise Data Lake is the big data platform comprised of a rich portfolio of open source products (Hadoop and related eco-system tools), COTS (commercially off-the-shelf) products, and in sourced developed capabilities.

Our mission is to deliver a world-class big data platform for the enterprise to leap frog competition.

We are looking for a highly competent and highly motivated individual to join us. This is a senior Hadoop Administrator position who will work with other technical staffs to manage and support our big data platform. Specifically, this position will involve in the following activities:

Hadoop cluster administration
Hadoop cluster expansion
Hadoop cluster upgrade
Cluster configuration
Issue and problem resolution
Troubleshooting and performance tuning
Cluster monitoring
User access provisioning

Required Qualifications

7+ years of application development and implementation experience5+ years of Hadoop experience5+ years of Red Hat Linux or UNIX experience7+ years of application development experience

Desired Qualifications

Good verbal, written, and interpersonal communication skillsPython experienceKnowledge and understanding of application lifecycle, from design and development to testing, implementation and production supportExperience with Spark, Hive and KafkaExperience with Hortonworks, Mapr, Cloudera or Hadoop experience in other distros

Job Expectations

Ability to work weekends and holidays as needed or scheduledAbility to travel up to 10% of the time

Street Address

AZ-PHX-Northwest Phoenix: 2222 W Rose Garden Ln - Phoenix, AZ


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.



Posted: 2020-05-06 Expires: 2020-06-05

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Sr. Hadoop Administrator

Wells Fargo
Phoenix, AZ 85003

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