Micron Recruitment 2021 | Freshers | Big Data Operations Engineer | BE/ B.Tech – Computers/ IT/ MIS | 2017 – 2020 Batch | Hyderabad
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Micron Recruitment 2021: Micron’s commitment to sustainability reflects how the company has operated for over 40 years. Every report details our commitment to employee health and safety, environmental quality, and community support across the world.
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Micron Recruitment 2021 Hiring Details:
| Job Title |
Big Data Operations Engineer |
| Company Name |
Micron |
| Location |
Hyderabad |
| Salary |
Not disclosed |
| Batch |
2021,2020,2019 |
| Last Date |
NA |
| Experience |
0 – 3 years |
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Positions: Big Data Operations Engineer
Job Location: Hyderabad
Salary: Best In Industry
Experience: 0-3 years
Eligibility Criteria for Micron Recruitment 2021:
- Associates Degree with equivalent experience
Job Description:
Micron Technology is looking for Big Data data operations engineers to join our Enterprise Analytics and Data organization’s IT Data Operations Team. In all elements of data, data warehousing, and business intelligence, the Data Operation team collaborates closely with the development team and Micron’s business divisions to support and maintain data assets and Big Data applications and solutions. To join our IT Operations team, we’re searching for people who have experience with Big Data technologies, data warehousing, database development, and ETL development. This position will primarily be responsible for Hadoop, Teradata, SSIS, NiFi, and other Big Data technologies.
Job Duties:
- Support Data Warehouse and Business Intelligence (BI) systems and platforms at the L2 level.
- Participate in the creation of Data Warehouse data models and solutions, as well as their architecture evaluation and deployment.
- Collaborate with business partners and other IT teams to ensure that data solutions are available, that failures are recovered, and that the system runs smoothly.
- Troubleshoot operational issues, escalate escalations, and resolve business partner concerns in a timely way, focusing on business priorities and good teamwork.
- As it pertains to operations, manage knowledge.
- Own and lead the post-mortem for major issues.
- Own and support programmes for continuous improvement in solution and operational health.
- Work on a shift-based rotational schedule to get essential insights into the performance of the Operations team and to operate in an analytic-driven operational environment.
- Ability to learn and use a variety of utilities and tools that aid in the monitoring and alerting of operations
- Participate in condensed knowledge transfer seminars and learn new solutions.
- Participate in the on-call rotation to provide help 24 hours a day, seven days a week.
- Maintain support material such as FAQs, Knowledge Articles, On-Call Guides, and Run Books, among other things.
Job Requirements:-
- 0-3 years of relevant expertise in Data Warehousing, Business Intelligence, and Analytics is required.
- 0-3 years of database, Hadoop, Teradata, and other Big Data ETL technologies experience
- Software Engineering background and experience a plus. 0-3 years Linux/Unix administration skills
- Knowledge of Data Vault, Inmon, or Kimball data architecture is advantageous.
- Strong analytical, problem-solving, and organising skills, as well as an enthusiasm for statistics and information.
- A bachelor’s degree in computer science, management information systems, or a closely related discipline is required.
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Skills:-
- 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
How to Apply for Micron Recruitment 2021?
Eligible and desirous candidates may apply through online mode by clicking the given below link.
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