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About the Role
Impact the future of AI marketing at Yolando as a Data Engineer. This hybrid role involves developing ETL pipelines and managing real-time data solutions in a growing startup environment in Toronto.
As a crucial member of Yolando’s team, you will design and optimize ETL pipelines using Databricks and Spark, aiding both Yolando and BirdseyePost. Your work will include the implementation of medallion architectures and handling third-party data integrations, allowing for scalable, high-quality data processing. Collaborate in a close-knit team to influence the design and effectiveness of AI solutions.
Key Responsibilities:
• Build and optimize ETL pipelines using industry tools
• Craft event-driven architecture with GCP Pub/Sub
• Manage datasets for LLM and embedding generation
• Ensure reliable data ingestion from external APIs
• Implement analytics models to track customer metrics
Requirements:
• Minimum 4 years in data engineering
• Proficient in Python and...
As a crucial member of Yolando’s team, you will design and optimize ETL pipelines using Databricks and Spark, aiding both Yolando and BirdseyePost. Your work will include the implementation of medallion architectures and handling third-party data integrations, allowing for scalable, high-quality data processing. Collaborate in a close-knit team to influence the design and effectiveness of AI solutions.
Key Responsibilities:
• Build and optimize ETL pipelines using industry tools
• Craft event-driven architecture with GCP Pub/Sub
• Manage datasets for LLM and embedding generation
• Ensure reliable data ingestion from external APIs
• Implement analytics models to track customer metrics
Requirements:
• Minimum 4 years in data engineering
• Proficient in Python and...
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