Elevate your career as a Senior Data Engineer, focusing on building advanced data pipelines and integrations using Google Cloud Platform. Collaborate on cutting-edge ML projects and work with cutting-edge technologies.

In this senior role, you'll be responsible for designing, constructing, and maintaining robust data pipelines essential for analytics and reporting. Your expertise in Python, SQL, and data engineering frameworks will be crucial in managing ingestion, transformation, and integration processes. You'll collaborate closely with data scientists and MLOps teams, ensuring seamless integration of ML models into workflows.

Key Responsibilities:
• Design and build scalable data pipelines for analytics
• Implement CI/CD automation for data workflows




• Collaborate with Data Scientists on ML integrations
• Maintain streaming data pipelines using Kafka
• Manage data APIs for fluid access across microservices

Requirements:
• 5+ years in data pipeline development using Python
• Hands-on experience with ML model integration
• 2+ years with REST/GraphQL data APIs
• Familiarity with structured/unstructured datasets
• GCP knowledge, including BigQuery and Dataflow

Leverage your expertise in data engineering to drive impactful analytics and machine learning solutions.
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📌 Senior Data Engineer with GCP Expertise (Manitoba)
🏢 Intuitive
📍 Manitoba