
Backend and Data Pipeline Engineer
2 weeks ago
The Role: Backend and Data Pipeline Engineer
We are looking for an innovative and mission-driven software/data 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
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