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Lead, Big Data Engineering

7.00 to 12.00 Years   Hyderabad   26 May, 2020
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryConsumer Durables / Electronics
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Lead, Big Data Engineering, Smart MFG & AI We have a known technical issue and may not be able to upload your resume at this time. Search by Keyword Search by Location alert frequency in every certain days Share this Job Lead, Big Data Engineering, Smart MFG & AI Hyderabad, TG, IN Req. ID: 181203

Do you believe that data provides game-changing insight Do you see data as an asset that builds a competitive advantage Great so do we.

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. Our expert team of big data engineers is dedicated to making this happen. 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. We re hiring!

As a Big Data Engineering Lead at Micron Technology Inc., you will be a key member of our Technology Solutions group within the Smart Manufacturing and Artificial Intelligence organization. The Data Engineering team works closely with Micron s business functions in all aspects of data, data warehousing, and business intelligence developing Big data engineering, Machine Learning and advanced analytics solutions. We are looking for individuals with strong experience in Big Data and Cloud Datawarehouse technologies. This role will work primarily with Big Data technologies like Hadoop, Cloud data warehouse like Snowflake, monitoring solutions such as Splunk and automation and machine learning using Python.

You will provide technical and managerial leadership for the team. 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:

  • Lead a team of Data Engineers
  • Participate in design, architecture review and deployment of Big data and cloud data warehouse solutions
  • Lead and drive project requirements and deliverables
  • Implement solutions that eliminate or minimize technical debt through a well-designed architecture, data model, and lifecycle
  • Collaborate with Key project partners, Solution analyst on project needs and translate requirements into technical needs for the team of data engineers
  • Bring together and share best-practice knowledge among the data engineering community
  • Coach, mentor, and help develop data engineers
  • Guide and manage the team through operational issues, escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities.
  • Ability to learn and be conversational with multiple utilities and tools that help with Operations monitoring and alerting
  • Collaborate with business partners and other teams to ensure data solutions are available, recover from failures and operate healthy
    • Qualifications and Experience
      • 7+ years developing, delivering, andor supporting big data engineering and advanced analytics solutions
      • 3+ years of experience in managing or leading teams
      • 3-5 years of experience working with Cloud Datawarehouse solutions such as Snowflake
      • Experience working with Big Data platforms such as Hadoop, Spark and Snowflake
      • Python and NiFi experience is a plus
      • Demonstrate ability to lead multi-functional groups, with diverse interests and requirements, to a common objective
      • Presentation skills with a high degree of comfort speaking with management and developers
      • A passion for data and information with strong analytical, problem solving, and organizational skills
      • Experience with various technologies, frameworks and processes, such as Agile, Hadoop, Cloud based solutions
      • The ability to work in a dynamic, fast-paced, work environment
      • Self-motivated with the ability to work under minimal supervision
    ,

    Keyskills :
    java hive bigdata hadoop apachewebserver workunderminimalsupervision printerfleetmanagement continuousimprovementfacilitation datasolutions problemsolving computerscience datawarehousing machinelearning dataengineering productionsupport adv

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