Software Engineer - Data Workflows
- Backend and Data Software Engineering
- Build and optimize end-to-end data workflows from collection to user-facing tools
- Create efficient data models and automation pipelines for AD/ADAS systems
- Develop robust APIs to support data analytics applications
- Implement comprehensive testing strategies to ensure application reliability
- Communicate technical concepts and data findings effectively to non-technical team members and leadership
- Teamwork
- Collaborate closely with the Product team and internal customers to optimize workflows and user experience.
- Work with other engineers to promote best practices, conduct code reviews, and ensure consistency and quality across the codebase
- Ownership
- Write clear technical design documents and system documentation.
- Deliver features through the full software lifecycle including requirements gathering, design, implementation, testing, documentation, release, and maintenance.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of professional software development experience in backend web services and data pipelines.
- Technical Expertise
- Experience with Python in a web and data context
- Experience with SQL and data schema design.
- Experience with data ingestion and ETL pipelines.
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, or Google Cloud)
- Familiarity with NoSQL database systems such as DynamoDB.
- Soft Skills
- Strong problem-solving and debugging capabilities.
- Strong written and verbal communication skills, including technical designs and documentation.
- Preferred Qualifications
- Experience with microservice and serverless cloud architectures.
- Experience with performance optimization techniques in various database systems.
- Experience with infrastructure as code (e.g., Terraform).
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