Become a key player as a DevOps Data Engineer, specializing in end-to-end data solutions and cloud technologies. Elevate data integrity and analytics capabilities within your organization. This role engages you with the Data Engineering team to optimize data solutions and enhance reporting capabilities.

You will be tasked with building solid data pipelines and implementing cutting-edge technologies like APIs and containerized applications. Collaborating closely with business stakeholders, you’ll drive impactful analytics and data science initiatives. Key Responsibilities:
Design, build, and optimize data engineering solutions
Create and manage APIs and microservices for data access
Collaborate on diagnostic reporting and prescriptive analytics




Identify inefficiencies in data movement and processing
Advocate for emerging data technologies to enhance workflows Requirements:
Bachelor’s degree in Computer Science or Engineering
5+ years of hands-on experience with SQL, Python, and cloud
Solid leadership and problem-solving capabilities
Knowledge of containers and automation tools
Familiarity with security and visualization tools Harness your data engineering and DevOps skills to transform and optimize data solutions for organizational growth.

📌 Devops Data Solutions Engineer Toronto (Canada)
🏢 ODAIA
📍 Canada