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.
Exciting opportunity to be a part of a brand-new best-in-class data science & analytics team to create the world’s first travel media network from the world’s best and largest airline. An entrepreneurial and meticulous data engineer who builds underlying supporting data for measurement and reporting across United’s Travel Media Network
• Design and build scalable and reliable data infrastructure and pipelines (ingestion, integration, ETL, real-time connectors) to support data for measurement and reporting
• Build connections with relevant endpoints for data ingestion
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and requirements
• Ensure data quality, performance, and security across the entire data lifecycle; developing high-quality and well-documented data sets
• Continuously improve data infrastructure and processes to increase efficiency, scalability, and reliability
• Stay up to date with emerging technologies and best practices in data engineering
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.
QualificationsWhat’s needed to succeed (Minimum Qualifications):
• Bachelor’s degree
• Computer Science, Engineering or a related field
• 2-5 years hands-on industry experience in Data Engineering (or equivalent quantitative job title)
• Skilled in data flow designing, development of data warehousing and ETL pipelines.
• Proven ability to write highly optimized Spark jobs and SQL queries tailored for Massively Parallel Processing (MPP) databases like Redshift.
• In-depth understanding and hands-on experience with the Databricks platform, including optimizing Spark jobs within its environment
• Extensive knowledge and practical application of real-time data processing frameworks such as Apache Flink and Spark Structured Streaming
• Proficient with Python or Scala
• Good to have API development experience preferably with python and FastAPI framework
• Proficient with cloud-based data technologies such as AWS
• Familiarity with data visualization tools (Power BI, Tableau)
• Strong collaborator with cross-functional teams from tech, design, and business and experience leading teams in an agile setting
• Ability to communicate and explain data and its implications to various stakeholders
• Ability to evaluate different options proactively and to solve problems in an innovative way, developing new solutions or combining existing methods to create new approaches
• 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
What will help you propel from the pack (Preferred Qualifications):
Advanced computer engineering degree preferred