Data Engineer

How you will contribute to revolutionizing electric aviation:

• Develop, construct, test, and maintain analytic databases and scalable data pipelines.
• Define performant data models to power dashboards and reporting, maintaining their coherence and evolution over time
• Develop and manage integrations with third-party APIs and services, ensuring stable, secure, and efficient data exchanges
• Work closely with data producers to ensure data is available, reliable, and ready for analysis
• Collaborate closely with data analysts to optimize data queries and visualizations
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implement data quality processes, ensuring the accuracy and consistency of data
• Keep abreast of emerging technologies and trends in data engineering, introducing innovations and best practices to the team and organization
• Maintain documentation of code, algorithms, and data definitions, ensuring clarity for other team members and stakeholders
• Leverage cloud-based solutions appropriately, ensuring scalability, resilience, and cost-effectiveness
• Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations
• Design, write, test, and deploy production-ready code
• Actively contribute to a collaborative team environment, fostering open communication, mutual respect, and a unified vision to achieve shared goals and drive business value
• Review team members’ work to ensure quality, consistency, and conformity to best practices
• Work with data and subject matter experts to strive for greater functionality in our data systems

Minimum Qualifications we are seeking:

• Bachelor’s Degree or Master’s in Computer Science, Statistics, Software Engineering, or a relevant field
• 3 years experience in a Cloud/Big Data Engineering role
• Familiarity with cloud platforms (AWS preferred)
• Experience architecting and programming large-scale software applications in Python
• Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases including columnar (e.g., RedShift) and non-relational (e.g. DynamoDB)
• Aptitude for rapidly learning and integrating with third-party APIs
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience working with message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience working with Git version control and CI/CD systems
• Strong project management and organizational skills
• Exceptional troubleshooting skills with the ability to spot issues before they become problems
• Excellent communication skills, both written and verbal
• Experience supporting and working with cross-functional teams in a dynamic environment

Above and Beyond Qualifications that will distinguish you:

• Experience developing Infrastructure as Code (IaC) using AWS CDK, Cloudformation or Terraform
• Proficiency in building RESTful APIs and web services
• Experience with Apache Big Data tools such as Airflow, Avro, Beam, Parquet, etc.
• Familiarity with production applications such as ALM (Application Lifecycle Management), PLM (Product Lifecycle Management), Manufacturing Execution System (MES), Quality Management System (QMS), and Enterprise Resource Planning (ERP)