Senior Data Engineer

Location : Montreal – Hybrid – 3 days / week

Responsibilities

• Collaborating with cross‑functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and Data Bricks.
• Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs.
• Taking ownership of the end‑to‑end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency.
• Creating and managing data pipelines, ensuring proper error handling, monitoring and performance optimizations.
• Working in an agile environment, participating in sprint planning, daily stand‑ups, and retrospectives.
• Conducting code reviews, providing constructive feedback, and enforcing coding standards to maintain a high quality.
• Developing and maintaining tooling and automation scripts to streamline repetitive tasks.
• Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes.
• Utilizing REST APIs and other integration techniques to connect various data sources.
• Maintaining documentation, including data flow diagrams, technical specifications, and processes.

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