Job Description

About Delta Air LinesAbout the CompanyDelta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good.
In 2023, Delta was named the Worlds Most Admired Airline by , with the company ranking No. 1 across the board in the industry for values including innovation and people management. Delta also rated higher than any other airline on the overall list of Most Admired Companies, climbing to No. 12 this year.Responsibilties:

• Take ownership of assigned technical projects in a fast-paced environment.
• Work in a collaborative cross-functional environment and interact with the full spectrum of business divisions.
• Serve as a liaison with business users and walk with them through their problems to identify the best path forward.
• Provide technical counsel to other Data Engineers on the team and may be requested to review and guide their work to ensure all the work comes together successfully to meet the business need.

• Bachelor of Science degree in Computer Science or equivalent.
• At least 4 years of post-degree professional experience.
• 3+ years of experience working with database technologies and data development such as Python, PLSQL, etc.
• 3+ years of experience in AWS.
• Experience in mentoring junior team members through code reviews and recommend alignment to best practices.
• Deep understanding of writing test cases to ensure data quality, reliability and high level of confidence.
• Track record of advancing new technologies to improve data quality and reliability.
• Continuously improve quality, efficiency, and scalability of data pipelines.
• Expert skills working with queries/applications, including performance tuning, using indexes, and materialized views to improve query performance.
• Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.).
• Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment.
• Familiar with standard processes for data ingestion and data design.

• Airline industry experience.
• Development experience building and maintaining ETL pipelines

Delta Air Lines