Senior Data Engineer – Engineering Analytics

Delta Air Lines, Inc.6 months ago
Atlanta, GA, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

About Delta Air Lines

Delta Air Lines connects the world by flying 180 million customers to 300+ destinations every year. The Engineering Analytics team builds and optimizes our data workflows and warehousing; and deploys data science and machine learning models to support this complex operation. The team is seeking a Senior Data Engineer to take on developing data pipelines, manage data ingestion and cleaning, and support data availability for application development. The Senior Data Engineer, Engineering Analytics will help advance the engineering and maintenance organization through the application of innovative and robust techniques.

Candidate Profile

An appropriate candidate will have technical knowledge of BI systems, big data architecture and technology landscape, API consumption, ETL/ELT orchestration, and business intelligence tools. The candidate should have excellent organizational and communication skills and feel comfortable in a fast-paced environment. An ideal candidate possesses technical knowledge of BI systems, big data architecture and technology landscape, API consumption, ETL/ELT orchestration, and business intelligence tools. In this newly created role, you will demonstrate your expertise, and excellent organizational, communication skills, and adaptability in a fast-paced environment.

Your Responsibilities

  • Implement data engineering solutions, e.g., locate and extract data from a variety of sources for use in reporting, analysis, and statistical modeling to drive continuous improvement
  • Practice good software engineering techniques, e.g., Git, scrum, branching, code reviews, spikes
  • Execute the data engineering roadmap
  • Partner with Information Technology to optimize and enhance the database environment for optimal efficiency and best practices
  • Leverage emerging technologies and identify efficient and meaningful ways to disseminate data and analysis to satisfy the business’ needs
  • Interface with business unit leaders to develop and maintain internal customer relationships
  • Practice safety-conscious environment resulting in employee safety and well-being

Required Skills

Big Data Architecture
Software Engineering Techniques
Data Engineering
Communication Skills
API Consumption
Scrum
Adaptability
Git
Business Intelligence Systems
Data Pipeline Development
ETL/ELT orchestration
Organizational Skills
Data Ingestion and Cleaning