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Monday, April 4, 2022

Meta Hiring Data Engineer Analytics job in Across Global Salary Upto$92500-USD/Year Apply Online

Company: META
Job Role: Data Engineer Analytics
Experience: (4+years):
Vacancy: 50+
Qualification: BE/BTech, ME/MTech,(CSE/IT) or related field
Salary: Upto$92500-USD/Year
Location: Across global
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Apply Mode: (Online)
Deadline: Not Mentioned
About the Company:
Job Description:
  • Oversee and execute information distribution center designs for an item or a gathering of items to take care of well-checked issues.
  • Distinguish the information required for a business issue and carry out logging expected to guarantee accessibility of information, while working with information framework to emergency issues and resolve.
  • Work together with engineers, item chiefs and information researchers to comprehend information needs, addressing key information bits of knowledge outwardly in a significant manner.
  • Assemble information ability and influence information controls to guarantee protection, security, consistence, information quality, and activities for assigned areas of proprietorship.
  • Configuration, assemble and send off new information models and representations underway, utilizing normal advancement tool stash.
  • Freely configuration, construct and send off new information extraction, change and stacking processes underway, coaching others around making productive inquiries.
  • Support existing cycles running underway and execute advanced arrangements with restricted direction.
  • Characterize and oversee SLA for informational indexes in dispensed areas of proprietorship.
Least Qualifications
  • Four year college education (BA or BS) or same
  • At least 4 years of work insight in information designing (least of 2 years with a Ph.D.)
  • Experience with SQL, ETL, information displaying and something like one programming language (e.g., Python, C++, C#, Scala)
Favored Qualifications
  • Aces or Ph.D. degree in a STEM field
  • Experience with at least one of the accompanying: information handling computerization, information quality, information warehousing, information administration, business knowledge, information perception, information protection
  • Experience working with TB to PB scale information
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