Big Data Operations Engineer

Our vision is to transform how the world uses information to enrich life.Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

• Provide L2 support for Data Warehouse and Business Intelligence (BI) solutions and platforms
• Participate in design, architecture review and deployment of Data Warehouse data models and solutions.
• Collaborate with business partners and other IT teams to ensure data solutions are available, recover from failures and operate healthy
• Troubleshoot operational issues, escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities.
• Manage knowledge as it relates to Operations.
• Own and drive post-mortem for critical issues
• Own and support continue improvement plans for solution health and Operational health
• Build critical insights to Operations team’s performance and operate in a analytic driven operational environment
• Work in a shift based rotational schedule
• Ability to learn and use mutliple utilities and tools that help with Operations monitoring and alerting
• Participate and learn new solutions through condensed knowledge transfer sessions
• Participate in the on-call rotation for 24x7 support.
• Maintain support documentation, including: FAQs, Knowledge Articles, On-call Guides, Run Books, etc.
• Qualifications and Experience
• 0-3 years of relevant work experience in Data Warehousing, Business Intelligence, and Analytics.
• 0-3 years of experience working with databases, Hadoop, Teradata and other Big Data ETL technologies
• 0-3 years Linux/Unix administration skills
• Software Engineering background and experience a plus.
• Data Vault, Inmon, or Kimball data architecture knowledge is a plus
• A passion for data and information with strong analytical, problem solving, and organizational skills.
• Preferred qualifications and experience
• Experience with various technologies, frameworks and processes, such as Hadoop, Tableau, Grafana, Splunk, data warehousing, data flow mapping, requirements gathering, testing and data validation techniques.
• Big Data technology stack administration skills (such as NiFi)
• The ability to work in a dynamic, fast-paced, work environment.
• Self-motivated with the ability to work under minimal supervision.
• Prior experience working in ITIL based environment is expected
• ITSM certification is a plus
• Education:
• B.S. in Computer Science, Management Information Systems, or related fields

About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions. Through our global brands – Micron® and Crucial® – our broad portfolio of high-performance memory and storage technologies, including DRAM, NAND, 3D XPoint™ memory and NOR, is transforming how the world uses information to enrich life. Backed by more than 40 years of technology leadership, our memory and storage solutions enable disruptive trends, including artificial intelligence, 5G, machine learning and autonomous vehicles, in key market segments like mobile, data center, client, consumer, industrial, graphics, automotive, and networking. Our common stock is traded on the Nasdaq under the MU symbol. To learn more visit micron.com/careers.

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

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product 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 sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.