- Location
- Taichung City,TW, TW · Taoyuan City,TW, TW
- Type
- Full-time
- Seniority
- Manager
- Experience
- 5+ years
- Education
- Bachelor
- Source
- Eightfold
Description
Req. ID:
JR106233 MANAGER, SMART MFG & AI, DATA ENG (Taichung or Taoyuan)
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Data Engineering Technical Manager- SMART MFG& AI
Job Description
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. Under this organization, we have 2 new data engineering teams to be formed, one of team will focus on exploring ASML EUV(Extreme ultraviolet lithography) machines and the data like Sensor data collection, Collector Lifetime Detection, Dose error analyzer, Image monitoring, ASML MDL data decoding for developing Big data engineering, and advanced analytics solutions. Another team will be leading data engineers to leverage of the shelf technologies to enhance the capabilities of our TMs on the shop floor (e.g. AR/VR, RPA) and develop projects for Labour Productivity.
Those 2 teams will work closely with Micron’s business functions(Domain expert, Data Scientist..etc) in all aspects of data, like Connect and automate the pipelines, data processing from different sources, provide data as products building data lake, data warehouse, data mart, data cleansing, feature selection/engineering for Machine Learning usage and data governance for developing Big data engineering, 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
Remark:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job Profile(s):
Data Engineering Mgmt 1
Relocation level: (TBD)
Before Getting Started
Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:
- Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
- If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.