We are looking to add a long-term Data Engineer to a team that will help our customer stakeholder create new cloud native offerings that leverage multiple internal and external cloud providers and services. This person will be working with software developers, data scientists, architects, customer support leadership, and management. This role will be part of an Agile Development team that will build data lakes, data focused cloud applications, and secure cloud offerings in Azure. The expertise of this team will be used to de-risk decision making and rapidly build/test new applications, data pipelines, and machine learning models.

Key Responsibilities

• Analysis of data use cases to inform design
• Data pipeline design and implementation
• Software architecture and coding
• Automated testing
• Feature definition
• Code in Python and SQL
• Performance analysis of data pipelines

Desired Skills and Abilities

• Individual-contributor-level experience creating applications in public cloud environments-Specifically Azure
• Software design/development experience
• Big data expertise: ingestion, storage, batch, streaming analytics, and processing
• Design for cost management and reduction in public cloud environments
• Azure expertise
• Containerization using Docker and Kubernetes
  • Containerization principles and microservice architecture foundations
• CI/CD for cloud native software
• Data modeling and warehousing using Data Warehouse or Data Lake House architectures
• BS in Computer Science or related degree