(Master's Fresh Grad ONLY) - Senior Engineer, Data Analyst Engineering
Bayan Lepas, Penang, Malaysia
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Western Digital
Western Digital, leaders in digital storage solutions compatible with Mac and PC. FREE shipping, friendly support, and 30-day return policy on storage products.Company Description
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.
At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, WD_BLACK™, and SanDisk® Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.
Job Description
Broad Functions:
- Develop, automate, deploy, provide training, maintain and support automated visualization systems for Global Quality
- Improve overall Quality tasks/monitoring by apply Data Analytics & ML skill
- Provide data extraction and data analysis support to department
- Support and maintain Global Quality data system
- Generate Supplier Quality Regular and Adhoc reports.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Responsible for delivering the organization outcome as stated:
- Interacts with global quality 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 Global Quality owner.
- Generates ad-hoc reports and regular datasets or report information for Global Quality 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 Global Quality
- Consolidate requirements
- Develop, automate, deploy, provide training, maintain and support visualization systems for Global Quality
- 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.
- Support CFEs and Factory team on data analysis request on 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 Global Quality Data and System Team shared folder and website
- Maintain Global Quality 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
Qualifications
REQUIRED:
- Master, or Bachelor in Computer Science/Data Science/Information Technology/Applied Mathematics, Statistic or related field.
- Expertise in data scient area, 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:
- 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.
Additional Information
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email compliance@wdc.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Data warehouse Data Warehousing Engineering HBase Keras LLMs Machine Learning Mathematics Minitab MS SQL MySQL Pandas Python PyTorch RDBMS Redshift Scikit-learn Security Spotfire SQL Tableau TensorFlow Teradata
Perks/benefits: Career development Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.