We are seeking a Technology Architect - Data Science Developer to design, enhance, and maintain data storage structures, pipelines, and analytics environments using Azure technologies. This hybrid role (3 days onsite, 2 days remote) involves creating scalable data solutions and delivering actionable insights through advanced dashboards and reports. The ideal candidate will have strong experience with Azure Data Lake, Azure Databricks, Power BI, and Python.
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Advantages
•Hybrid Work Flexibility: Enjoy the balance of 3 days onsite and 2 days remote each week.
•Innovative Projects: Work on high-impact data and analytics solutions that optimize performance and reduce costs.
•Cutting-Edge Technology: Gain hands-on experience with advanced tools like Azure Synapse, Databricks, and Power BI.
•Collaboration Opportunities: Partner with cross-functional teams to implement and enhance analytics products.
•Knowledge Transfer: Engage in mentoring and documentation to share expertise and improve team capabilities.
Responsibilities
•Data Storage & Structures: Create, enhance, and support scalable data storage solutions using Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse.
•Data Pipelines: Automate and optimize data pipelines for data ingestion, transformation, and modeling using tools like Python, Azure Data Factory, and Databricks.
•Analytics & Reporting: Develop, maintain, and enhance Power BI dashboards and reports for actionable insights.
•Performance Optimization: Implement new technologies to improve performance, simplify architecture, and reduce hosting costs.
•Knowledge Transfer: Conduct sessions and document processes for technical staff, ensuring smooth transitions and continuous improvements in analytics solutions.
Qualifications
•Must-Have Skills:
1.Strong experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse.
2.Proficiency in automating data pipelines using Python, Azure Data Factory, and Databricks.
3.Advanced knowledge of Power BI for creating reports and dashboards.
•Nice-to-Have Skills:
1.Prior experience working on big data or high data volume projects.
2.Demonstrated ability to optimize cloud-hosted analytics environments for cost and performance.
3.Proven track record of conducting effective knowledge transfer sessions and creating detailed technical documentation.
Summary
Join our team as a Technology Architect - Data Science Developer to design innovative analytics solutions and enhance data-driven decision-making processes. This is your chance to work with cutting-edge Azure technologies in a collaborative, hybrid environment. Apply today and contribute to impactful, scalable data solutions!
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.
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We are seeking a Technology Architect - Data Science Developer to design, enhance, and maintain data storage structures, pipelines, and analytics environments using Azure technologies. This hybrid role (3 days onsite, 2 days remote) involves creating scalable data solutions and delivering actionable insights through advanced dashboards and reports. The ideal candidate will have strong experience with Azure Data Lake, Azure Databricks, Power BI, and Python.
Advantages
•Hybrid Work Flexibility: Enjoy the balance of 3 days onsite and 2 days remote each week.
•Innovative Projects: Work on high-impact data and analytics solutions that optimize performance and reduce costs.
•Cutting-Edge Technology: Gain hands-on experience with advanced tools like Azure Synapse, Databricks, and Power BI.
•Collaboration Opportunities: Partner with cross-functional teams to implement and enhance analytics products.
•Knowledge Transfer: Engage in mentoring and documentation to share expertise and improve team capabilities.
Responsibilities
•Data Storage & Structures: Create, enhance, and support scalable data storage solutions using Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse.
...
•Data Pipelines: Automate and optimize data pipelines for data ingestion, transformation, and modeling using tools like Python, Azure Data Factory, and Databricks.
•Analytics & Reporting: Develop, maintain, and enhance Power BI dashboards and reports for actionable insights.
•Performance Optimization: Implement new technologies to improve performance, simplify architecture, and reduce hosting costs.
•Knowledge Transfer: Conduct sessions and document processes for technical staff, ensuring smooth transitions and continuous improvements in analytics solutions.
Qualifications
•Must-Have Skills:
1.Strong experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse.
2.Proficiency in automating data pipelines using Python, Azure Data Factory, and Databricks.
3.Advanced knowledge of Power BI for creating reports and dashboards.
•Nice-to-Have Skills:
1.Prior experience working on big data or high data volume projects.
2.Demonstrated ability to optimize cloud-hosted analytics environments for cost and performance.
3.Proven track record of conducting effective knowledge transfer sessions and creating detailed technical documentation.
Summary
Join our team as a Technology Architect - Data Science Developer to design innovative analytics solutions and enhance data-driven decision-making processes. This is your chance to work with cutting-edge Azure technologies in a collaborative, hybrid environment. Apply today and contribute to impactful, scalable data solutions!
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.
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