Data science Jobs in Toronto, ON

We are seeking a Senior Data Science Developer to join a high-performing product team focused on architecting and implementing modernized cloud-based data solutions. This role is central to the transition of legacy data pipelines to a sophisticated Lakehouse architecture. You will be responsible for designing and maintaining automated pipelines, developing analytics models, and enforcing development standards across collaborative data projects. The ideal candidate has deep expertise in the Azure Databricks ecosystem and a proven track record of migrating legacy workloads to Delta Lake-based solutions.

Pay Rate: $57.6- $63.04/Hr

Advantages
- Lead the transition to cutting-edge Databricks native orchestration and Delta Lake.

- Play a key role in decommissioning legacy Synapse workloads in favor of a modern Lakehouse.

- Work in an Agile setting with a focus on code quality, knowledge sharing, and reusable frameworks.

- Gain hands-on experience implementing enterprise-level data governance with Unity Catalog.

Responsibilities
- Design, create, and maintain cloud-based data lake and lakehouse structures following the Medallion Architecture (Bronze, Silver, Gold).

- Lead the migration of legacy pipelines from Azure Synapse and ADF (including stored procedures and views) to native Databricks orchestration leveraging Delta Lake.

- Code and implement automated data pipelines and analytics models using Python and SQL.

- Support the creation of reusable frameworks and standards to streamline pipeline creation across the organization.

- Enforce development standards through code reviews in GitHub and leverage tools like Databricks Unity Catalog for robust data governance.

- Liaise with IT colleagues to resolve operational problems and support business partners in the effective use of analytics products.

- Prepare technical documentation and conduct knowledge transfer sessions to promote team sharing and maintain high code quality.

Qualifications
- Azure Expertise (5+ Years): Extensive experience in a Microsoft Azure environment using ADLS, Synapse, and Azure Storage.

- Data Engineering (5+ Years): Proven experience building and orchestrating pipelines with Azure Data Factory (ADF) and Databricks.

- High proficiency in Python and SQL for complex data engineering and analytics tasks.

- Strong background in Agile team environments and CI/CD practices for automating data solution deployments.

- Familiarity with Unity Catalog and the Delta Lake format.

- Strong analytical problem-solving skills; ability to identify alternatives and recommend solutions for multi-component failures.

Summary
If you are a Senior Data Developer who excels at architecting modern cloud-based analytics solutions and leading complex migrations within the Azure ecosystem, we encourage you to apply today!

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.