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United Airlines Senior Manager - Big Data Architecture and Engineering in Chicago, Illinois

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Technology/IT

The United IT team designs, develops and maintains massively scaling technology solutions that are brought to life with innovative architectures, data analytics and digital solutions.

Job overview and responsibilities

In this role, you'll use your experience with Java/Scala, Spark, Big Data, AWS to lead and manage the development of data pipe lines to make data accessible and actionable. This is a critical role in driving the company towards becoming an analytic driven organization by building analytic infrastructure at scale.

  • Lead the build out of a best in class data engineering platform with coordination with external partnerships.

  • Collaborate with a diverse team of software engineers, architects and product experts to enable a best in class ecosystem to create business value across various divisions of United.

  • Be an evangelist of building out cloud native data products on AWS.

  • Partner and led cross functional engineering teams

  • Responsible for gaining business alignment through the communication of highly technical concepts in business terms and articulating business value of adopting big data technologies

Required:

  • 3+ years configuring and implementing solutions on as AWS no-SQL stack & Cloud DW & fast access products like (Redshift , Athena etc.) hands-on experience with CI/CD tools (jenkins,Git/Stash,Vagrant etc.) and methods. Knowledge of Docker/Kubernetees

  • 5+ years in Big Data Components including: Hadoop/HDFS, Spark, Storm, Hbase, Pig, Hive, Scala, Kafka, PyScripts, Unix Shell Scripts

  • Bachelors or masters in Comp science and engineering

  • 7+ years of engineering/software development leveraging Dev Ops techniques and Continuous Integration

  • Architecture and implementation of large and highly complex projects.

  • 10+ years of architecture support in Warehouse, DataMart, Business Intelligence, and Big Data analytic eco system

  • 5+ years of management experience

  • Must be legally authorized to work in the United States for any employer without sponsorship

  • Successful completion of interview required to meet job qualification

  • Reliable, punctual attendance is an essential function of the position

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT

Division: 21 Digital Products & Analytics

Function: Information Technology

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled

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