As an Intermediate Data Engineer, you will be responsible for:

- Designing, building, and maintaining scalable and reliable ELT (Extract, Load, Transform) pipelines on the Microsoft Azure Cloud/Fabric platform.

- Designing, developing, and optimizing complex Python and SQL queries for data processing and transformation.

- Maintaining orchestration workflows and ensuring both real-time and batch data processes meet defined performance expectations.

- Collaborating with architects, analysts, and stakeholders to define technical requirements and contributing to the end-to-end implementation of data solutions in an enterprise environment.

- Assisting in creating and maintaining high-quality technical documentation, including Architecture Diagrams, Solution Documents, and detailed descriptions of ETL processes, business rules, and transformations.

- Designing and implementing CI/CD practices and ensuring developed solutions adhere to data management standards, security, and privacy controls in collaboration with governance teams.

- Conducting thorough analysis of existing reporting systems and processes, identifying areas for improvement, and contributing to the design of the modernized reporting framework.

Qualifications
- Proven experience as a Data Engineer focused on building and maintaining scalable data ingestion and transformation pipelines.

- Strong practical experience with Microsoft Azure Cloud/Fabric data services (e.g., Data Factory, Synapse Analytics, Data Lake).

- Proficiency in designing, developing, and optimizing complex SQL queries.

- Proficiency in a relevant programming language, preferably Python, for data manipulation and scripting.

- Experience with ELT methodologies and data pipeline orchestration workflows.

- Working knowledge of CI/CD principles and implementation for data solutions.

- Experience creating and maintaining technical documentation, including data models and architecture diagrams.

- Excellent analytical, problem-solving, and collaboration skills to work with technical and non-technical stakeholders.

Summary
If you're interested in the Intermediate Data Engineer 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.