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