Data Engineer

Invest Ottawa

Noda is dedicated to transforming commercial buildings into efficient, sustainable, and intelligent ecosystems. As a part of the data and analytics field, they are committed to reducing global emissions caused by commercial building operations. The company values creative thinking and teamwork, offering a supportive environment where flexibility and adaptability are key.

In this role you can expect to have the responsibilities:

• Collaborate with teams to understand data requirements and provide integration solutions.
• Migrate customer data from legacy systems with a focus on data accuracy and consistency.
• Perform data modeling, including dimensional modeling for analytics purposes.
• Plan scalable data solutions on cloud platforms such as AWS and Snowflake.
• Maintain data governance practices, ensuring data quality and compliance.
• Implement data security measures in line with privacy regulations.
• Work in an Agile environment, collaborating with cross-functional teams.

This role comes with the following benefits:

• Healthcare cover including vision and dental.
• Critical Illness Cover & Life Insurance Policy.
• Long Term Disability Cover.
• Pension - Registered Retirement Savings Plan.
• Enhanced parental leave.
• Competitive salary and equity participation.
• Flexible and autonomous working arrangements.
• Monthly paid personal development days.
• Annual paid volunteer day.

This role requires you to have:

• Bachelor’s or Master’s in Computer Science, Data Engineering, or equivalent experience.
• Proficiency in SQL, Python, and data integration.
• Experience with AWS, Kubernetes, and Docker.
• Knowledge of ETL processes, data governance, and data warehousing.

You would benefit from having:

• Familiarity with PostgreSQL, MongoDB, and Snowflake.
• Experience with Kafka, Kafka Connectors, and Redis.
• Knowledge of data visualization tools like Tableau and Power BI.

Noda values diverse perspectives and encourages applications from all backgrounds. They emphasize inclusivity throughout the hiring process.