United Airlines Recruitment 2022 Hiring Freshers as Data Engineer of Any Degree Graduate

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United Airlines Recruitment 2023
United Airlines Recruitment 2023

United Airlines Recruitment 2022 Hiring Freshers as Data Engineer of Any Degree Graduate

United Airlines Recruitment 2022: United Airlines, Inc. is a major American airline headquartered at Willis Tower in Chicago, Illinois. It is the 3rd largest airline in the world, measured by fleet size and route network. United operates a large domestic and international route network, with an extensive presence in the Asia-Pacific region

Company Name: United Airlines Inc

Company Website: United Airlines

Wikipedia: United Airlines Wiki

Position: Associate Data Engineer

Degree Needed: B.E/B.Tech

Passout Year: 2020/2021/2022

Job Location: Gurgaon

Salary: Best In Industry

Experience Level: 0 – 2 Years

Jobs By Location And Passout Year:

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Required Skills: 

  • Bachelor’s degree
  • Entry level position/0-1 year of experience in data engineering
  • Bachelor of Technology
  • Strong problem-solving and analytical thinking capabilities
  • Eager learner
  • Must be legally authorized to work in India for any employer without sponsorship
  • Must be fluent in English (written and spoken)
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

Preferred Skills:

  • 2+ year of experience in data engineering
  • Python, SQL, Spark
  • AWS

Job Overview and Responsibilities:

The Data Engineer role will work closely with a team of business analysts, data scientists and software developers to design, provision and implement data solutions to assist our business in setting up systems for data driven growth. Overall, this position will strive for efficiency by aligning data systems with the organization’s business goals.

  • Gather and organize data from various sources to build data systems and pipelines using Big Data & cloud technologies like AWS Glue, S3, Athena, Lambda, Spark, Redshift
  • Combine raw information from different sources including but not limited to on-prem/cloud RDBMS, files & API’s based data providers
  • Evaluate business requirements and objectives for a given use case implementation
  • Explore ways to enhance data quality and reliability to ensure a standardized data layer is being created on the data lake in AWS
  • Make use of deequ framework to create a DQ layer
  • Conduct data analysis and report on results in a clear and effective manner to business analysts

Apply Link: Click here

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