Data Engineer

Top 5 Skill sets

1. DevOps

2. AWS Cloud

3. Terraform

4. Python

5 CI/CD pipelines

Nice to have skills or certifications:

1. Blue-Green deployments

2. Kubernetes

3. Ansible Playbooks

REQUIRED

• Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree)

• 5+ years of experience in data engineering or ETL development role

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with structure, semi- structure, and unstructured datasets.

• Experience with Big Query, SQL server, etc.

• Experience with AWS cloud services: Redshift, S3, Athena, etc.

• Experience with SQL and various database interface tools: SSMS, Oracle SQL developer, etc.

• Passionate about solving problems through data and analytics, and creating data products including data models

• Strong initiative to take ownership of data-focused projects, get involved in the details of validation and testing, as well as provide a business user perspective to their work

• Ability to communicate complex quantitative concepts in a clear, precise, and actionable manner

• Proven proficiency with Microsoft Excel and PowerPoint

• Strong problem-solving skills, using data to tackle problems

• Outstanding writing, communication, and presentation skills

PREFERRED

• Master's degree

• Experience with Quantum Metrics and Akamai

• Experience with languages: Python, R, etc.

• Strong experience with continuous integration & delivery using Agile methodologies

• Data engineering experience with transportation/airline industry

• Strong problem-solving skills