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 workplace 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 metricsRequirements:
Minimum 4 years in data engineering
Proficient in Python and SQL
Experience with distributed data processing using Spark
Familiarity with major cloud platforms like Databricks
Knowledge of event streaming systems is a plusLeverage your skills in a role that merges data engineering with AI innovation at Yolando.#J-18808-Ljbffr

📌 Ai Focused Data Engineer Role Toronto
🏢 Drive Capital
📍 Toronto