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United Airlines

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4.3

based on 65 Reviews

1 United Airlines Senior Data Engineer Job

Senior Data Engineer

United Airlines

4.3

based on 65 Reviews

5-10 years

Gurgaon / Gurugram

1 vacancy

Senior Data Engineer

United Airlines

posted 26d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Aviation Data Mining Business Operations

+ 3 more

Job Description

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

Work independently to solve business problems using data analysis and data mining.
Perform trend analysis and create Power BI Dashboard based on Visualization technique.
Design and development of data solutions using the Databricks Data Analytics Platform.
Perform ETL workflow analysis, create current/future state data flow diagrams and assess the impact of any changes or enhancements.
Work alongside business stakeholders to comprehend and document data needs, then convert these requirements into technical solutions.
Implement data governance policies and security measures to ensure data integrity, confidentiality, and compliance with regulatory requirements.
Troubleshoot complex data issues and provide timely resolution to minimize impact on business operations.

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.

United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.

Qualifications

Required :

Bachelor s or Master s degree in Computer Science, Engineering, or related field.
5+ years of experience in data engineering/data analyst roles, with a proven track record of designing and implementing large-scale data solutions.
Proficiency in programming languages such as Python, Java, or Scala, with a focus on building data pipelines and ETL processes.
Expertise in SQL and experience with relational and non-relational databases (eg, PostgreSQL, MongoDB, Cassandra).
Experience with Databricks Data Analytics Platform and distributed computing frameworks (eg, Spark, Kafka).
Deep understanding of data warehousing concepts, and data modeling principles.
Hands-on experience with cloud-based data platforms (eg, AWS, GCP, Azure)
Excellent problem-solving and analytical skills, with the ability to troubleshoot complex data issues and optimize performance.
Experience in Data Analysis and Requirements Gathering
Experience with Visualization tools such as Spotfire, Power BI, Quicksight etc
Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams and drive consensus on technical decisions