We are looking for a Senior Data Science Developer for a hybrid role, working 2 days onsite and 3 days remote. The ideal candidate will have extensive experience in the Azure environment and a strong background in data engineering. You will be responsible for designing, building, and maintaining cloud-based data solutions, with a focus on migrating and modernizing data pipelines.

QUALIFICATIONS

• 5+ years of experience in an Azure environment.
• 5+ years of experience in data engineering using ADF and Databricks.
• 5+ years of programming experience with Python and SQL.
• Experience with Azure Data Lake Storage (ADLS) and Delta Lake.
• Familiarity with CI/CD practices and tools like GitHub.
• Background in organizing data using the medallion architecture and Databricks Unity Catalog is a plus.

SUMMARY

If you’re interested in the Senior Data Science Developer role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada’s workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process

• Participate in product teams to analyze system requirements and implement cloud-based data and analytics products.
• Design, create, and maintain cloud-based data lake and lakehouse structures.
• Build and orchestrate automated data pipelines, primarily using Azure Data Factory (ADF) and Databricks.
• Support the migration of legacy data pipelines to modern Databricks-based solutions.
• Develop and maintain standardized, reusable frameworks for pipeline creation.
• Participate in code reviews and provide knowledge transfer to maintain code quality and share knowledge.
• Analyze and resolve complex technical issues and recommend solutions.