Job Location: Atlanta, GA
United States, Georgia, Atlanta
TechOps
13-May-2022
Ref #: 14670
How you’ll help us Keep Climbing (overview & key responsibilities)
TechOps Data as a Service team seeks a data engineering analytics leader to take on developing data-driven solutions aimed at continually improving airline performance and decision making.
An appropriate candidate will have technical knowledge of BI systems design, big data architecture and technology landscape, API consumption, ETL/ELT orchestration, business intelligence tools. The candidate should have excellent organizational and communication skills and feel comfortable in a fast-paced environment.
Delta Air Lines is transforming and modernizing applications from a predominantly on-premise environment to the cloud. We are looking for a Data Engineer to join us in our cloud journey and be part of the entire SDLC from inception to production deployment.
Primary Functions:
- Experience working with containers and managed container orchestrators (Kubernetes/OpenShift) in the cloud (For example AWS Elastic Kubernetes Service, Red Hat OpenShift)
- Experience in cloud managed services and DB (RDS, NoSQL/DynamoDB, serverless, etc.)
- CI/CD using GitLab (preferred) or Jenkins
What You Need To Succeed (minimum Qualifications)
- Embraces diverse people, thinking and styles
- Consistently makes safety and security, of self and others, the priority
- Proficiency in SQL (CTE, window functions, temporal data)
- Proficiency in Python
- Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered for U.S.-based job, if not currently employed by Delta Air Lines, Inc.
What Will Give You a Competitive Edge (preferred Qualifications)
- Must be performing satisfactorily in present position
- Must be able to interact and collaborate at all levels within Operations Analysis & Performance, OCC, cross-divisional working groups, and outside entities
- Strong project management, organizational, and prioritizations skills
- Strong written, oral communication, and interpersonal skills
- Working knowledge of API Consumption preferred
- Working knowledge of “Big Data” solutions such as Hadoop, NoSQL, MapReduce, etc preferred
- Working knowledge of statistical/machine learning tools (e.g. SAS,R, TensorFlow) preferred
- Bachelor’s degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience (Master’s degree preferred)
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