JOB DESCRIPTION

Experience Level: Level 4 (advanced): 7-15 years
Location: Montreal (Day 1 onboarding onsite / in office presence 3x week)

YOU WILL BE RESPONSIBLE FOR:

• Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks
• 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 manage 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, provide constructive feedback, and enforce coding standards to maintain a high quality.
• Developing and maintain 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.