About the Role
Shape scalable data solutions at Terminal, Toronto's leading telematics startup. This role focuses on backend challenges using Java and Python while working with advanced data architectures.
As a Senior Data Platform Engineer, you will innovate and enhance data storage, replication, and analytics capabilities. Drive efficiency by designing robust data pipelines and systems for petabyte-scale data. You'll collaborate in optimizing streaming and batch processes, ensuring real-time data ingestion.
Key Responsibilities: • Enhance data replication and reporting capabilities • Build efficient streaming and batch data pipelines • Design scalable storage solutions for petabyte-scale data • Maintain real-time data systems for growing volumes • Implement observability patterns for monitoring
Requirements: • 3+ years in platform or data engineering • 2+ years optimizing data pipelines at scale • Proficient in Java and Python • Strong knowledge of big data workflows • Fa...
As a Senior Data Platform Engineer, you will innovate and enhance data storage, replication, and analytics capabilities. Drive efficiency by designing robust data pipelines and systems for petabyte-scale data. You'll collaborate in optimizing streaming and batch processes, ensuring real-time data ingestion.
Key Responsibilities: • Enhance data replication and reporting capabilities • Build efficient streaming and batch data pipelines • Design scalable storage solutions for petabyte-scale data • Maintain real-time data systems for growing volumes • Implement observability patterns for monitoring
Requirements: • 3+ years in platform or data engineering • 2+ years optimizing data pipelines at scale • Proficient in Java and Python • Strong knowledge of big data workflows • Fa...
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