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Micron Technology Hiring Freshers As IT Engineer | Hyderabad Jobs

Micron Technology Hiring Freshers As IT Engineer | Hyderabad Jobs

  • Hyderabad Jobs
  • 2020-04-26 16:22:47
Fulltime

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Micron Technology Hiring Freshers As IT Engineer | Hyderabad

Micron Technology hiring freshers for the post of IT Data Operations Engineer in Hyderabad office. Candidates from 2017, 2018, 2019 & 2020 batch Graduate in Computer Science Engineering or equivalent are eligible for this role. For more details for eligibility criteria, selection process, apply link read below.

Company Name : Micron Technology

Job Location : Hyderabad

Position : IT Data Operations Engineer

Salary : Best in Market

Experience Required: 0-3 years

Eligibility Criteria:

  • B.S. in Computer Science, Management Information Systems, or related fields
  • 0-3 years of relevant work experience in Data Warehousing, Business Intelligence, and Analytics.
  • 0-3 years of experience working with databases, PL-SQL, T-SQL and ETL (Microsoft SSIS) tools.
  • 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.

Reponsibilities:

  • 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 teams performance and operate in a analytic driven operational environment
  • Work in a shift based rotational schedule



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