United Airlines Recruitment 2023 | Freshers | Associate Data Engineer

United Airlines Recruitment 2023 | Freshers | Associate Data Engineer | BE/ B.Tech – CSE/ IT | 2022/ 2023 Batch | Gurgaon

Company: United Airlines
United Airlines Recruitment 2023: United Airlines, Inc. is a major American airline headquartered at Willis Tower in Chicago, Illinois. United operates a large domestic and international route network, with an extensive presence in the Asia-Pacific region.

It is a founding member of the Star Alliance, the world’s largest airline alliance with a total of 28 member airlines. Regional service is operated by independent carriers under the brand name United Express. United was established by the amalgamation of several airlines in the late 1920s, the oldest of these being Varney Air Lines, which was founded in 1926.

Company Website: www.united.com

Position: Associate Data Engineer

Experience: Freshers (0 – 1 year)

Job Location: Gurgaon

Salary: Best In Industry

Eligibility Criteria for United Airlines Recruitment 2023:

Bachelor’s degree of Information Technology, Computer Engineering
Bachelor of Technology
Entry level position / 0-1 year of experience in data engineering
Strong problem-solving and analytical thinking capabilities
Excellent interpersonal and communication skills
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

Job Description:

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.

Job Responsibilities:

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

Skills: