Associate Data Engineer

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

Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and experience, supporting revenue growth by turning customers into lifelong United flyers. Our marketing communications, market research and brand teams drive travelers’ familiarity and engagement with the United brand. Our product, design and service teams bring the signature United brand to life in our clubs and onboard our aircraft, ensuring a seamless, premier experience. And when customers choose United again and again, that’s because the loyalty team has been hard at work crafting an award-winning program. Our loyalty team manages United MileagePlus®, building travel and lifestyle partnerships that customers can engage with every day, and works with our Star Alliance partners to ensure United can take you anywhere you want to go.

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
  
  

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.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree in 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 and Hindi (written and spoken)
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position
  
  

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

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

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