Data Engineer
Air Apps, San Francisco
The role
As a Data Engineer at Air Apps, you will be responsible for designing, building, and optimizing data pipelines, data warehouses, and data lakes to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.
This role requires expertise in data architecture, ETL processes, and cloud-based data solutions to handle large volumes of structured and unstructured data.
What you will do
- Design, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting.
- Develop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure.
- Implement real-time and batch data processing solutions for various business needs.
- Work with structured and unstructured data, ensuring proper data modeling and storage strategies.
- Ensure data reliability, consistency, and scalability through best practices in architecture and engineering.