Ingénieur de données/Ingénieure de données

Canada, Full Time

Data Engineer 12 months in Montréal 37,5h ABOUT YOUR ROLE Reporting to the Senior Manager, Analytics and Total Fund Delivery, the Senior Data Engineer will be responsible for building and deploying data pipelines to feed advanced analytics use cases. The applicant will also provide insightful advice to the Technology & Digital Strategy (TDS) management team, As a Senior Data Engineer, you’ll: Create, own, optimize, and maintain data pre-processing and features engineering pipelines to feed advanced analytics use cases within the Analytics and Total Fund Delivery team in alignment with the data architecture guiding principles. Build required infrastructure to streamline data extraction and transformation to support advanced analytics use cases related to investment in public and private market Work with advanced analytics practitioners, including citizen practitioners, data scientists to increase efficiency of project delivery Participate in building analytics tools to deliver actionable insights and packaged product for coworkers and stakeholders Adopt and scale an API-first approach for advanced analytics use cases WHAT WE’RE LOOKING FOR Ability to navigate a fast-paced environment with a high level of autonomy Effective communications skills, both written and spoken Demonstrated initiative and curiosity to look beyond surface facts and conduct comprehensive, fact-based, value-added research Attention to detail and rigorous approach to research and development work Eagerness to learn, ideate and innovate Drive to pursue excellence and challenge the status quo to seek out alternative perspectives Open-mindedness and active listening skills Respect for differences of opinion and an inclusive mindset WHAT YOU’LL NEED Minimum of 5 years ’ experience and bachelor’s or master’s degree in computer science or software engineering Experience working with relational and no-relational database, specifically using Snowflake and Delta Lake and other database technologies ( SQL, NoSQL, Hive, etc) Knowledge of Terraform and Knowledge of CICD with Azure DevOps . Knowledge of database architecture and optimization for warehouses and data lake Strong Experience building big data pipelines for ETL focusing on time series data using: PySpark , etc Strong Experience using Databricks on Azure Knowledge of Azure Functionalities (Data Factory, Azure DevOps, etc) Strong Experience in development of pipelines using object-oriented programming in Python English required, French an asset This position is located at our Montreal offices



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