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Overview Maplesoft implements TimeLive for Electronic time tracking. Please view the demo below on how to enter and approve time. Do you want to work in a dynamic environment where your contributions count? At Maplesoft, we value the contributions of all our employees and contractors. We listen and act upon suggestions, advice, and innovative ideas to further our strategic vision. In turn, Maplesoft contributes to the communities where we live and operate. We think globally, but act in our own backyards. Build your future with Maplesofts exciting technologies, deep partnerships, personal approach to consulting services, professional development opportunities and exciting company culture. If you are interested in any of the following job openings, please apply directly to [email protected], citing the position title and job id in the email subject line. Location: Hybrid - Ottawa, Toronto, Montreal or Calgary Responsibilities - The Lead Data Engineering Specialist drives the technical detail design, oversees the development and optimization of data products, ensuring the reliability and performance of ETL processes. This role involves the design and management of complex data pipelines, to take responsibility for the implementation of solutions that comply with architectural requirements, and to collaborate with key partners to meet business objectives. The lead also mentors juniors, sharing expertise to foster their growth. - Lead the development of data solutions, ensuring proper data quality and its monitoring, and proper integration aligned with the medallion architecture. - Create and maintain data models and architectural diagrams. - Use data engineering tools for data querying (e.g., SQL), data handling (e.g., PySpark, stored procedures), data storage (e.g., ADLS). - Lead the design of the semantic layer. - Proactively apply performance optimizations and monitoring of data solutions, such as alerts. - Lead and enforce proper documentation, to ensure ongoing maintenance and updates. - Use DevOps platforms (e.g., GitHub) and manage infrastructure deployments through code (e.g., Terraform). - Ensure the outcome of the projects you lead meet the business objectives. - Identify and implement engineering best practices and process improvements to enhance the efficiency and effectiveness of data solutions. - Ensure governance and security guidelines are followed. Qualifications - 5+ years of experience in data engineering with experience in building modern data platforms and data products. - 3+ years of experience with distributed computing (e.g., Spark) and infrastructure as code (e.g., Terraform). - 3+ years of experience designing and implementing scalable, cloud-based data solutions (Azure preferred). - Deep understanding of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics. - Expert knowledge of cloud security and networking is an asset. - Vast hands-on experience with the following Azure PaaS is an asset: Azure Data Lake Storage (ADLS), Azure Databricks, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse, Event Hub, API Management (APIM), Azure Key Vault, Azure SQL, and Purview. Have a good understanding of the backup, disaster recovery, and data recovery strategy and execution with the above services. - Ability to interact with peers and stakeholders to define and drive product and business impact. Maplesoft Group prides itself on its distinct corporate culture and recognizes that success is a direct reflection of our most valuable asset - our people. Therefore, attitude and ambition are key personality traits we seek out, along with skill and aptitude, in potential employees. Maplesoft Group is committed to having a diverse, representative workforce and continuing to build an inclusive environment. We encourage applications from all qualified individuals. Maplesoft Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal peoples or any other legally protected factors. All employment decisions are made based on business needs, job requirements, and individual qualifications. We are committed to developing inclusive, barrier-free recruitment and selection processes, and a work environment that supports our diverse workforce. Please let us know if you require accommodations at any stage of the recruitment process. We can be reached at Maplesoft Info at [email protected]. We thank you for your interest in Maplesoft Group and wish to advise you, that only candidates under consideration will be contacted. Ready to Excel? Think you/'re a great fit for our team? Explore our Job Opportunities page. #J-18808-Ljbffr