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Western Digital Technologist Quality Assurance Engineering 
Philippines, Quezon City 
81112275

19.11.2024
Company Description

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

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES: Job is responsible for delivering the organization's outcome as stated:

  • Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for OCCQ.
  • Interacts with OCCQ and service teams to identify questions and issues in data analysis and experiments.
  • Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large data sets from disparate sources. Identifies meaningful insights from large data and metadata sources.
  • Interprets and communicates insights and findings from analysis and experiments to the OCCQ owner.
  • Establishes database management systems, standards, guidelines, and quality assurance for database deliverables, such as conceptual design, logical database, data maintenance plan, and policy.
  • Quality Data Analytics & Related Machine Learning Projects
    • Improve overall Quality tasks/monitoring by applying Data Analytics & ML skills.
  • Visualization automation development and maintenance for OCCQ
    • Consolidate requirements
    • Develop, automate, deploy, provide training, maintain, and support visualization systems for the OCCQ department
  • Data ingestion is done into the 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 the 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 requests on OCCQ Data
    • Provide support to CFEs and factory quality data query and data analysis requests
    • Support in the areas of running queries, analyzing data, and providing recommendations based on the data analysis objective
  • System support and maintenance
    • Identify data integrity issues
    • Work with owners of source systems to fix the 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 ad-hoc reports
    • Support in the areas of running queries, analyze data, and provide recommendations base on the data analysis objective
Qualifications
  • REQUIRED:

  • Bachelor's or Master’s Degree, in Computer Science/Data Science/Information Technology/Applied Mathematics, Statistics, or a related field.
  • Minimum 15 years working experience, preferably with a statistical background and/or 10-12 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.
  • The data storage industry is beneficial in terms of the 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, workflow 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.