Data Engineer
Core
Design, build, and maintain scalable data infrastructure and pipelines for automotive industry applications, ensuring data quality and accessibility.
Role type
Data Engineer
Builds
Robust data infrastructure, ETL processes, and scalable data systems
Domain
Automotive industry + Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, NoSQL databases, Vector databases, Graph databases, Big Data technologies, Cloud-based data solutions (AWS), Data modeling, Data governance, ETL processes
Preferred skills
OTEL and Logging for Tracing, Observability and Controlling, Vector similarity search, Graph data modeling
Technologies
Python, SQL, MongoDB, AWS OpenSearch, Pinecone, Neo4j, AWS Neptune, AWS Redshift, AWS S3, AWS DynamoDB, ETL tools
Responsibilities
Design and implement scalable data systems, create efficient ETL processes, optimize data retrieval, ensure data integrity, collaborate with data scientists and analysts to translate requirements into data architectures
Seniority
Mid-level, hands-on IC
