This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform
Job Summary
This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform.
You will own critical components of our Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure-as-code deployments.
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture.
Matching Summary
This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform.
Skills & Requirements
Must-have
Real-time and batch data pipelines
Kafka/Flink streaming architecture
Databricks lakehouse implementations
Python, Java, and SQL development
AWS and/or Azure cloud infrastructure
Containerized applications (Docker/Kubernetes)
Nice-to-have
High-performance racing programs
Telemetry and timing-based metrics
Self-starter and quick learner
Cross-functional collaboration
Key Requirements
Minimum 5 years professional software development
Experience with event streaming technologies
Experience with SQL and NoSQL databases
Experience with Agile development methodologies
Experience with networking and client-server communication