Backend and data pipeline engineer

The Role: Backend and Data Pipeline EngineerWe 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