Experienced Data Engineer Shaping Data Infrastructure in Cleantech
2 weeks ago
Toronto ON, Toronto Census Division, ON; Ontario, Canada
Peak Power Inc
Full-time
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Step into the role of Senior Data Engineer, where your expertise will help optimize data for energy storage systems. Lead the charge on innovative data solutions that streamline processes and enhance sustainability in energy markets.
In this position, you will collaborate with software engineers, data scientists, and business stakeholders to build and maintain effective data pipelines. Your analytical skills and strong communication will contribute to the success of complex data initiatives geared toward improving energy efficiency and user experience.
Key Responsibilities
• Create secure and scalable data pipelines
• Resolve and document data issues thoroughly
• Facilitate disaster recovery planning for data safety
• Collaborate on data documentation and access needs
• Provide coaching for cloud application development
Requirements:
• Bachelor's degree in a technical discipline
• 5+ years of relevant technical experience
• Proficient in Python for building data pipelines
• Familiarity with relational databases and cloud services
• Understanding of orchestration tools like Apache Airflow Contribute to groundbreaking data projects and influence the transition to cleaner energy through innovative data-driven insights. #J-18808-Ljbffr
Key Responsibilities
• Create secure and scalable data pipelines
• Resolve and document data issues thoroughly
• Facilitate disaster recovery planning for data safety
• Collaborate on data documentation and access needs
• Provide coaching for cloud application development
Requirements:
• Bachelor's degree in a technical discipline
• 5+ years of relevant technical experience
• Proficient in Python for building data pipelines
• Familiarity with relational databases and cloud services
• Understanding of orchestration tools like Apache Airflow Contribute to groundbreaking data projects and influence the transition to cleaner energy through innovative data-driven insights. #J-18808-Ljbffr