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Data Analytics Engineer

San Jose, CA, US

 

Req. ID: 174082 

 

Micron Technology’s vision is to transform how the world uses information to enrich life and our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community.

 

We are seeking talented engineers with general expertise and demonstrated interest in hardware analytics, systems engineering and data science. You will part of the Analytics team that is responsible for ensuring systems engineering drive data analytics solutions to our customers. Your work will involve developing the tools to collect, analyze, and visualize diverse data sets to address a variety of high value engineering issues.

 

Responsibilities include, but not limited to:

  • Design, build and maintain end-to-end data pipeline for drive failure and trend analysis
  • Fine tune application performance, troubleshoot and resolve data processing issues
  • Develop tools and algorithms to collect, analyze and visualize data
  • Provide end-to-end solution for a given problem and effectively communicate solutions to the team
  • Thrive in a dynamic, multi-team fast-paced, rapid development, startup-like environment as well as work independently

 

Successful Candidates for this position will have:

The ideal candidate should be comfortable working cross-functionally as well as delivering results independently. The position requires willingness to learn new technologies, solving complex problems, identifying innovative solutions and troubleshooting.

  • Earning a degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Chemical Engineering, Mechanical Engineering, Electrical Engineering)
  • Understanding of physical systems (e.g. signals processing, sensors, semiconductors, manufacturing)
  • Understanding of storage technologies (NAND) and memory interfaces (DDR), and HW based designs (SOCs, ASICs and FPGA)
  • Experience with machine learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
  • Experience performing data extraction, cleaning, analysis, and visualization for medium to large data-sets
  • Experience with at least one programming language (Python, R, Java, etc.) and writing SQL queries

 

About Us

As the leader in innovative memory solutions, Micron is helping the world make sense of data by delivering technology that is transforming how the world uses information. Through our global brands — Micron, Crucial and Ballistix — we offer the industry’s broadest portfolio. We are the only company manufacturing today’s major memory and storage technologies: DRAM, NAND, NOR and 3D XPoint™ memory. Our solutions are purpose built to leverage the value of data to unlock financial insights, accelerate scientific breakthroughs and enhance communication around the world.

 

 

Micron Benefits

Employee Rewards Program, Healthcare, Paid time off (Combined Sick and Vacation Time), Retirement savings plans, Paid maternity/paternity leave, Employee Assistance Program, Professional development training, Workplace wellness programs, Micron Health Clinic (Boise only), Fitness Center/Activity rooms (Boise/San Jose only), Tuition Reimbursement, Micron Corporate Discounts, Casual Dress attire.

 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s Human Resources Department at 1-800-336-8918 or 208-368-4748 and/or by completing our General Contact Form


Keywords:  San Jose || California (US-CA) || United States (US) || NVE (Non-Volatile Engineering Group) || Experienced || Regular || Engineering || #LI-RS1 || Tier 4 || 

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Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto

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