Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Western Digital Principal Engineer Data Analyst Engineering 
Canada, British Columbia, Area H (Cultus Lake/Columbia Valley) 
571169497

02.09.2024
Company Description

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Broad Functions:

  • Factory Product Performance (FPP) Report – work within department and with respective functional departments including Product Engineer and Quality Engineer for report compilation
  • Develop, automate, deploy, provide training, maintain and support automated visualization systems for OCCQ department
  • Improve overall Quality tasks/monitoring by apply Data Analytics & ML skill
  • Provide data extraction and data analysis support to department on OCCQ data
  • Support and maintain OCCQ data system
  • Generate Supplier Quality Regular and Adhoc reports.

ESSENTIAL DUTIES AND RESPONSIBILITIES:job is responsible for delivering the organization outcome as stated:

  • Interacts with OCCQ and service teams to identify questions and issues for data analysis and experiments.
  • Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata source.
  • Interprets and communicates insights and findings from analysis and experiments to OCCQ owner.
  • Generates ad hoc reports and regular datasets or report information for OCCQ-users using system tools and database or data warehouse queries and scripts. Integrates data from multiple sources to produce requested or required data elements.
  • Quality Data Analytics & Related Machine Learning Projects
    • Improve overall Quality tasks/monitoring by apply Data Analytics & ML skill.
  • Visualization automation development and maintenance for OCCQ
    • Consolidate requirements
    • Develop, automate, deploy, provide training, maintain and support visualization systems for OCCQ department
  • Data ingestion onto Database, AMAZON REDSHIFT/ TERADATA etc.
  • Integrates data from multiple sources to produce requested or required data elements. Programs and maintains report forms and formats, information dashboards, data generators, canned reports and other end-user information portals or resources.
  • Customer Data Package (Factory Product Performance – FPP)
    • Work within department and with respective functional departments to compile factory product performance data packages for customers
    • To ensure the deadline is met
    • Making sure data packages are compiled with necessary information (data and charts) for functional team data input.
  • Support CFEs and Factory team on data analysis request on OCCQ Data
    • Provide support to CFEs and factory quality data query and data analysis requests
    • Support in the areas of running query, analyze data and provide recommendation base on the data analysis objective
  • System support and maintenance
    • Identify data integrity issues
    • Work with owners of source systems to fix root cause of data integrity issues
  • Maintaining OCCQ Data and System Team shared folder and website
    • Maintain OCCQ server and shared folders
    • Structure department server and shared folder for easy information access
    • Structure department shared folders and maintain information security
  • Supplier Quality Analysis and Reporting
    • Generate regular and adhoc reports
    • Support in the areas of running query, analyze data and provide recommendation base on the data analysis objective

REQUIRED:

  • Bachelor or Master’s Degree, in Computer Science/Data Science/Information Technology/Applied Mathematics, Statistic or related field.
  • Minimum 12 years working experience, preferably with statistic background and/or 10 years working experience in data science, data query/analysis and Machine Learning Projects.
  • Must possess strong hands-on expertise in developing database and message-oriented applications.
  • Data storage industry is beneficial – business environment and challenges, products, competitors, and suppliers.
  • Quality Management System
  • Responsible for data import, export, and transformation applications and processes
  • Creates clear documentation of operating procedures, database object layout, work flow diagrams and specifications for developed databases.
  • Experience and expertise in any ML projects related and a data warehousing such as TERADATA, HAWQ, HIVE, IMPALA and HBASE or high-volume manufacturing environment or experience on BI tool (Spotfire or Tableau or equivalent), data ingestion tool (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent) MYSQL, MSSQL, Python, SQL.
  • Experience using Large Language Models and identifying ways to incorporate them into new areas and applications.
  • Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch

PREFERRED:

  • Data storage industry is beneficial – business environment and challenges, products, competitors and suppliers.
  • Flexible and adaptable, Service-minded
  • Proactive, accountable and passionate about driving results
  • Ability to troubleshoot and analyze complex problems.
  • Ability to multi-task and meet deadlines

SKILLS:

  • Good interpersonal and communication skill.
  • Familiar with MYSQL, MSSQL, or other relational database design
  • Familiar with Python, SQL, ML, Data Analytics tools
  • Experience on BI tool (Spotfire or Tableau or equivalent), data ingestion tool (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent) will be added advantage.