Backend and Data Pipeline Engineer

The Role: Backend and Data Pipeline Engineer

We are looking for an innovative and mission-driven softwaredata engineer to make a significant impact by designing and developing AWS cloud native solutions that enables analysts to forecast long and short-term trends in the automotive industry. This role requires cutting edge data and cloud native technical expertise as well as the ability to work independently in a fast-paced, collaborative, and dynamic work environment.

Responsibilities:

- Design, develop, and maintain scalable data pipelines including complex algorithms

- Build and maintain backend services using Python or C# or similar, ensuring responsiveness and high performance

- Ensure data quality and integrity through robust validation processes

- Strong understanding of data integration and data modeling concepts

- Lead data integration projects and mentor junior engineers

- Collaborate with cross-functional teams to gather data requirements

- Collaborate with data scientists and analysts to optimize data flow and storage for advanced analytics

- Take ownership of the modules you work on, deliver on time and with quality, ensure software development best practices

- Utilize Redis for caching and data storage solutions to enhance application performance.

What

We're Looking For:

- Bachelor's degree in computer science, or a related field

- Strong analytical and problem-solving skills

- 7+ years of experience in Data Engineering/Advanced Analytics

- Proficiency in Python and experience with Flask for backend development.

- Strong knowledge of object-oriented programming.

- AWS Proficiency is a big plus: ECR, Contai