Senior Engineer

4 days ago


Gurgaon, Haryana, India United Airlines Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what's next. Let's define tomorrow, together.

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Job Overview And Responsibilities
United Airlines is seeking talented people to join the Data Engineering team. Data Engineering organization is responsible for driving data driven insights & innovation to support the data needs for commercial and operational projects with a digital focus.

We are seeking creative, driven, detail-oriented individuals who enjoy tackling tough problems with data and insights. Individuals who have a natural curiosity and desire to solve problems are encouraged to apply.

  • You will partner with Development team to deploy multiple projects and maintaining software using public clouds such as AWS

Designing, developing, deploying and maintaining software at scale using Spark and Python

  • You will provide expertise to build frameworks using PySpark which can be used for orchestration, monitoring pipelines and Integrate solutions with other applications and platforms outside the framework
  • You will be responsible for supporting Pre-Prod and Prod environments which includes deployments of application, monitoring of pipelines and resolution, disaster recovery, incident / problem management
  • Good knowledge of SDLC process and use of Agile methodologies to manage projects
  • You will partner with various teams to define and execute data acquisition, transformation, processing and make data actionable for operational and analytics initiatives that create sustainable revenue and share growth
  • Design, Develop and implement streaming and near-real time data pipelines that feed systems that are the operational backbone of our business
  • Develop and implement innovative solutions leading to automation
  • Mentor and train junior engineers

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for
United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
Qualifications
What's needed to succeed (Minimum Qualifications):

  • BS/BA, in computer science or related STEM field
  • Reliable, punctual attendance is an essential function of the position
  • AWS Certified DevOps Engineer
  • AWS Certified Solutions Architect
  • 4+ years of IT experience in software development
  • 3+ years of development experience using Spark, Python
  • 2+ years of experience with Big Data technologies like Spark, Hadoop, Hive, HBASE, Kafka, Nifi
  • 3+ Years of Linux Red Hat Administration
  • Experience with Terraform and CICD process along with infrastructure designs, implementation, and support
  • Experience with relational database systems like PostgreSQL, Redshift, MS SQL Server, Oracle, Teradata
  • 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

What will help you propel from the pack (Preferred Qualifications):

  • Master's in computer science or related STEM field
  • Knowledge of Machine Learning, Databricks and Harnessis a plus
  • Strong experience with continuous integration & delivery using Agile methodologies
  • Data engineering experience with transportation/airline industry
  • Strong problem-solving skills
  • Strong knowledge in Big Data


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