Western Digital Senior Engineer Data Analytics Engineering 

Philippines, Baguio 

367716244

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:

• 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.
• 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
• Supplier Quality Reporting
  • Generate regular and adhoc reports

REQUIRED:

• Bachelor or Master’s Degree, in Computer Science/Data Science/Information Technology/Applied Mathematics, Statistic or related field.
• Minimum 3 years working experience, preferably with statistic background and/or 1- 2 years working experience in data scient, 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 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 will be added advantage.

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.