Data Engineering Technical Manager (Support Facility, Equipment, Cost Reduction)- SMART MFG& AI

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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.

Micron Technology operates in a highly competitive industry where innovation depends on forward-thinking minds extracting fresh insights from an ever-expanding data universe. As you already know, this can only happen when quality data solutions are available at the right time and in the right format. We are seeking a Technical Lead/Manager who is motivated by building high-performing teams, delivering solutions by leveraging solid Data Engineering technical background that change the way business is done. We operate in a diverse, collaborative environment where problem solving is a team sport and creative solutions are recognized and rewarded. Does this sound like the right team for you? Good news. Micron is hiring!

As a Technical Manager at Micron Technology Inc., you will lead data engineers under the Smart Manufacturing and Artificial Intelligence organization. The team works closely with Micron’s business functions(Domain expert, Data Scientist..etc) in all aspects of data, like Connect and automate the pipelines, data processing through streaming cluster, provide data as products building data lake, data warehouse and data mart, and data cleansing and data governance developing Big data engineering, Machine Learning and advanced analytics solutions.

You will ensure critical projects as well as higher level production support are delivered with high quality and collaboration with internal Micron team members.

Responsibilities

and Tasks

Team Management

• Assist in team development while holding teams accountable for their commitments.
• Remove roadblocks for team works.
• Leverage organizational resources to improve capacity for project work.
• Mentor and develop team members.
• Collaborate with Key project partners, Solution analyst and Architect on project needs and translate requirements into technical need
• Participate in design, architecture review along with developers for implementing Big data and cloud data warehouse solutions
• Lead team to Implement solutions that eliminate or minimize technical debt through a well-designed architecture, data model, and lifecycle
• Bring together and share best-practice knowledge among the data engineering community
• Lead team to work with OPS team through operational issues, escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities.
• Collaborate with business partners and other teams to ensure data solutions are available, recover from failures and operate healthy
  

Strategy Lead Support for requirement development

• Support the Strategy Lead in managing customer expectations for project deliverables.
• Confirm priorities for the team’s work and facilitates settlement of prioritization conflicts.
• Assist the Strategy Lead in communicating business requirements (or transfer into technical requirements) to the team.
  

Team Building

• Promote empowerment of the team to build a cohesive, high performing team.
• Ensure that each team member is fully engaged in the project and making a meaningful contribution.
• Encourage a sustainable pace with high levels of quality for the team.
• Use appropriate data and metrics to measure and promote team growth and maturity.
• Facilitate resolution of conflict within the team.
• Provide specific performance feedback to team members and their managers.
  

Qualifications

Required

Technical Experience:

• B.S. degree and above in Computer Science or related fields (Information Engineering, Information Management, Data engineering, Applied Mathematics)
• 5+ years of experience working/leading with Big Data Solutions development
• Strong experience of using ETL tools (NiFi, Informatica, SSIS, Spark…etc)
• Strong experience of developing in relational databases (MS SQL, Oracle, MySQL…etc)
• Application development skills and proficiency with Python, Java, Base shell, SQL…etc
• Developing applications with Hadoop Eco. Such as Hive, Spark, Kafka, HBase
• Experience with Cloud services such as GCP, AWS, Snowflake
• A passion for data and information with strong analytical, problem solving, and organizational skills
  

Experience

Below As Is Plus

• Experience for edge computing
• In-depth knowledge in Unix-like systems
• Experience with configuration automation tools
• Experience programming on embedded device technology and network protocols being used – MQTT, COAP, BT etc.
• Proven experience on the process of data being collected, stored and analyzed in edge computing devices (single-board computer, IPC, GPU server, or FPGA)
• Python script / Shell
• Nvidia experience
  

Others

• Demonstrated ability to lead cross-functional groups, with diverse interests and requirements, to a common objective
• Experience creating, measuring, and improving business processes
• Strong communication skills, with a track record of significant direct interaction and peer leadership with partners across the company
• Ability to independently prioritize work from multiple sources, including quick tasks and large-scale project work
• Strong analytical and problem-solving skills
• Self-motivated and drive for results
• Good communication skills in English or TOEIC 650 and above
  

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.

According to the "Employment Service Act", positions with salary lower than NTD$40,000, please refer to the salary information in the job description. Positions with salary over than NTD$40,000 will be subject to be discussed during interview.

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.

To request assistance with the application process, please contact Micron’s Human Resources Department at 1-800-336-8918 and/or by completing our General Contact Form.

Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environment. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client’s original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.