Senior Data Engineer (Hybrid)

Note:
We're representing an external client in search of qualified candidates for a role within their organization. This position offers a chance to be a part of our client's team and contribute to their objectives. As our client's search partner, we facilitate the initial stages of the selection process on their behalf. Please read on for more details about this opportunity.
About our client
Our client is a Toronto-based leader in clean technology, focused on advancing the transition to net zero energy. They offer innovative battery energy storage solutions and optimize distributed energy assets to deliver cleaner, more reliable electricity. Partnering with major players in real estate, electricity, and smart cities, they provide a dynamic work environment that emphasizes professional growth, continuous learning, and employee well-being.

Deliverables

• Build and maintain scalable reliable data pipelines
• Optimize solutions for handling and analyzing time series data
• Work with Apache Spark and Apache Flink for large-scale data processing
• Handle relational and time series databases like Postgres, TimescaleDB, and InfluxDB
• Implement and manage workflows using Airflow
• Utilize AWS services for data solutions
• Collaborate with data scientists to deploy and optimize machine learning models 
• Monitor and improve data systems, addressing issues as needed

About you

• Minimum of 5 years of experience as a Data Engineer or similar role
• Bachelor’s degree in Software Engineering, Computer Science, or a related technical field (such as Electrical Engineering, Physics, or Mathematics), or equivalent hands-on experience
• Proficiency in Python
• Hands-on with Apache Spark and Apache Flink
• Familiarity with Airflow for workflow orchestration and AWS for cloud-based data solutions
• Skilled in relational and timeseries databases (e.g., Postgres, TimescaleDB, InfluxDB)

Nice to have

• Interest with machine learning

Perks & Benefits

• Bonus
• Stock Options
• Vacation
• Training & Development
• Long Weekend Half Days
• Sick/Wellness Days
• Health & Wellness Credit
• Benefits

Note: Only candidates who meet the specified criteria and qualifications will be contacted for further consideration. Thank you for your understanding.