Key Responsibilities
- Design, build, and maintain scalable data pipelines to process robotics sensor data
- Develop ETL processes for real-time and batch data ingestion from robotic systems
- Optimize data storage and retrieval systems for high-frequency robotics datasets
- Collaborate with AI teams to ensure data quality and accessibility for machine learning models
- Implement data governance and security protocols for sensitive robotic telemetry
- Monitor pipeline performance and troubleshoot data flow issues
Requirements
- 5+ years of experience in data engineering with Python and SQL
- Proficiency in big data technologies (Spark, Hadoop, Kafka)
- Experience with cloud platforms (AWS/GCP/Azure) and containerization
- Strong understanding of data modeling and schema design
- Familiarity with robotics data formats (ROS, sensor logs)