Position Details
About this role
This role involves developing data-intensive and AI-enabled software applications for vehicle engineering and quality, focusing on data pipelines, cloud integration, and AI/ML solutions within an automotive context.
Key Responsibilities
- Design and develop data-driven applications
- Build and optimize data pipelines
- Collaborate with data science teams on AI solutions
- Ensure data quality and performance
- Lead solution design and best practices
Technical Overview
The technical environment includes SQL, Databricks, Java, Python, Kubernetes, Docker, AI/ML, and cloud-based data platforms, emphasizing scalable, reliable, and high-performance data and AI applications.
Ideal Candidate
The ideal candidate is a senior software engineer with extensive experience in data-driven and AI-enabled applications, proficient in SQL, Databricks, Java, and Python, with strong knowledge of cloud-native tools like Kubernetes and Docker. They should have a solid background in data quality, performance optimization, and software architecture within an automotive or SaaS environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with SQL, Databricks, Java, or Python, No experience in cloud-native environments, Less than 7 years of relevant experience, Unwillingness to work in a hybrid environment
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