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Data Engineer - Kafka

Company: Western Digital
Location: San Jose
Posted on: June 30, 2020

Job Description:

Western Digital--
The next big thing in

data is you!

We are seeking highly motivated data management engineers to

be part of our head operation advanced analytic team in Silicon Valley. This

team focus on the Industrial internet of things and advanced analytics, includes

hardware engineers, data analysts, data engineers, and machine learning experts

who develop the IIoT platform and perform advanced analysis on engineering

data.

The Data Management Engineer will be responsible for

developing predictive analytic platforms. This individual will work closely

with the data scientists, business users, and IT to identify, evaluate, design

and implement statistical and machine learning solutions.

The ideal candidate demonstrates a deep passion for applying

advanced analytic approaches, an eagerness to dig into large data sets, and a

vision for turning disparate data streams into a cohesive view for empowering a

diverse engineering community.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Focus on developing and implementing data

    analytics solutions to production. Be able to integrate data, analytics

    algorithms and factory systems by using state of art IT infrastructure and open

    source solutions, such as Kafka, Kubernetes and Jenkins etc.
  • Understand challenging business problems and

    develop tools & techniques to find patterns and insights within structured

    and unstructured data generated in nanoscale manufacturing environment
  • Prototype creative solutions for improving

    product performance predictability, and be able to lead others (Domain/IT

    stakeholders) in crafting and implementing smart factory solutions.


    REQUIRED:
    • BS or MS in computer science, computer

      engineering, or management of information systems. New graduates are welcome to

      apply.
    • Previous project management experience and

      willingness to develop project management skills is a major plus.
    • Possesses ability to mathematically model

      complex problems in machine vision, learning, and automation
    • Familiarity with open source software tools for

      machine learning, deep learning and image analysis. Prior container, Kafka and/or

      Spark experience is a plus.
    • Experience/proficiency in at least one programming

      language e.g. Java, C++, and Python
    • Proficiency with statistical analysis tools

      (e.g. JMP, R, SAS)
    • Experience with analytics on Hadoop, Teradata

      (MPP), and AWS Redshift desired.
    • Highly motivated, team player with strong

      communication and collaboration skills, self-starter with willingness to learn,

      master new technologies and clearly communicate results to technical and

      non-technical audience.


      ABOUT WESTERN DIGITAL
      The future. It's on you. You &

      Western Digital.

      We've been

      storing the world's data for more than 50 years. Once, it was the most

      important thing we could do for data. Now we're helping the world capture,

      preserve, access and transform data in a way only we can.

      The most game-changing companies,

      consumers, professionals, and governments come to us for the technologies and

      solutions they need to capture, preserve, access, and transform their data.

      But we can't do it alone. Today's

      exceptional data challenges require your exceptional skills. It's You & Us.

      Together, we're the next big thing in data.

      Western

      Digital-- data-centric solutions are found under the G-Technology---, HGST,

      SanDisk--, Tegile---, Upthere---, and WD-- brands.

      Western

      Digital is an equal opportunity employer.

      Western Digital

      does not discriminate on the basis of race, color, ancestry, religion

      (including religious dress and grooming standards), sex (including pregnancy,

      childbirth or related medical conditions, breastfeeding or related medical

      conditions), gender (including a person's gender identity, gender expression,

      and gender-related appearance and behavior, whether or not stereotypically

      associated with the person's assigned sex at birth), age, national origin,

      sexual orientation, medical condition, marital status (including domestic

      partnership status), physical disability, mental disability, medical condition,

      genetic information, protected medical and family care leave, Civil Air Patrol

      status, military and veteran status, or other legally protected characteristics.

      We also prohibit harassment of any individual on any of the characteristics

      listed above. Our non-discrimination policy applies to all aspects of

      employment. We comply with the laws and regulations set forth in the "Equal

      Employment Opportunity is the Law" poster.

      Federal and state laws require employers to provide reasonable accommodation to

      qualified individuals with disabilities. Please tell us if you

      require a reasonable accommodation to apply for a job or to perform your

      job. Examples of reasonable accommodation include making a change to

      the application process or work procedures, providing documents in an alternate

      format, using a sign language interpreter, or using specialized equipment. If

      you need any accommodation or assistance with our career site, please contact

      us at staffingsupport@wdc.com.

      Western

      Digital participates in the E-Verify program in the US. For more information

      click here. Este empleador participa in E-Verify.





Keywords: Western Digital, San Jose , Data Engineer - Kafka, Engineering , San Jose, California

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