Data Engineer HYBRID

Job title: Data Engineer HYBRID

Company: Direct IT Recruiting

Job description: OverviewYou will collaborate with Middleware/Product/Data Engineering, Data Scientists, and business stakeholders to deliver a well-managed and supported AI + Analytical Platforms ensuring their continuous improvement and refinement to meet evolving business needs and leverage the latest technological advancements

• You’ll join the Data, Analytics & AI team, a multidisciplinary group of data scientists, data analytics specialists, data engineers, and data visualization experts. Collaborating closely in this environment, you’ll support the development of Generative AI applications and the delivery & management of Analytical & AI technologies.
• You’ll also work directly with our Middleware & Product engineering team, Product Owners, Enterprise Architects, Software developers, and internal business team clients (Capital Markets, Private Investment, and more).
• You will report to Senior Analytical Technology Manager, Data Science & Advanced Analytics

Your main responsibilities include building and maintaining our Analytical & AI platforms, which include Power BI/Fabric, Databricks, AI Studio, Copilot Studio, and Azure AI Services. A key part of your role will be driving user adoption through training and support, fostering a community of practice, ensuring continuous improvement, and exploring innovative ways to leverage these tools for maximum business value.

• Help to build/maintain a wholistic analytical platform that enables common services, standards, patterns, and ensuring optimal performance and usage.
• Provide front-line technical support to analytical platforms through various channels.
• Coordinate change management processes for the platforms.
• Address planned and unplanned production issues, support the coordination, maintenance, and communication.
• Identify and analyse problems and trends within the platforms, providing monitoring and reporting.
• Identify and execute on improvement opportunities within the platforms.
• Be able to research independently for potential solutions to problems encountered.
• Design and develop automations as needed.
• Play a role in various related tasks, including user story creation, end-to-end process outlining, system configuration, testing, troubleshooting.
• Requirements gathering and rationalization: work cooperatively with internal stakeholders to understand and clarify platform and service needs.
• Fostering the development of our business users and colleagues, maintaining a COE with up-to-date best practises, and methodologies for our various platforms.
• Help to develop training materials tailored to various levels of expertise.

Requirements:

• Experience in industry or an academic setting of:
• 5+ years technical support, technical consulting experience, or information technology experience
• 5+ years of experience and demonstrated expertise in managing and supporting Power BI
• 3+ years of experience in Cloud computing
• Demonstrated knowledge of RESTful API design principles and experience developing and managing APIs.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Experience and knowledge of foundational Generative AI principles such as prompt engineering, RAG, finetuning, etc and frameworks will be an asset.
• Experience working in an Agile environment.
• 5+ years demonstrated experience with communication and interpersonal skills, including written and presentational, with the ability to work and engage with a diverse range of customers and stakeholders at all levels.
• Experience documenting business processes, gathering service requirements from diverse groups of stakeholders, to inform current and future service provision.
• Proven track record of staying current with technology
• Problem-solving skills working in a team-based environment
• Experience / Knowledge with surrounding technologies such as SharePoint, OneDrive, Teams, and wider M365 applications.

Expected salary:

Location: Toronto, ON

Job date: Fri, 04 Oct 2024 04:29:44 GMT

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