Elevate your career as a Senior Data Engineer focusing on Databricks and AI/ML. Engage in designing cutting-edge data and machine learning systems with a strong emphasis on collaboration.
In this role, you will be instrumental in designing and optimizing scalable data pipelines and ML workflows using Databricks. Your expertise will drive the implementation of MLOps pipelines and the development of AI systems. Collaborate with Data Scientists to ensure the accuracy and security of data across projects.
Key Responsibilities:
• Design and implement scalable ETL pipelines using Databricks
• Construct Lakehouse architecture with Delta Lake
• Develop ML models and deploy via MLflow
• Optimize cluster performance and resource costs
• Integrate data analytics with BI tools such as Power BI
Requirements:
• Over 5 years of experience with Databricks and Spark
• Strong capabilities in Python & PySpark
• Experienced with Delta Lake and Lakehouse
• Familiar with MLOps practices and cloud platforms (AWS/Azure/GCP)
• Knowledge in Git and CI/CD
Leverage your technical skills to enhance AI-driven solutions in a supportive workplace.
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📌 Senior Data Engineer on Databricks (Toronto)
🏢 iLink Digital
📍 Toronto