Dawn InfoTek Inc. is a professional IT consulting team that partners with major financial institutions, investment firms and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting all levels of IT positions for our clients. We are currently seeking competent individuals to fulfill the role of Data Engineer Consultant to join our dynamic team to work at our client. Term: 12 months Support business initiatives in developing, maintaining and improving key reports/dashboard, and critical data solutions. Design and develop efficient, scalable, and reliable data pipelines (ETL/ELT) data from various sources into data warehouses. Design and maintain relational and non-relational databases to store structured and unstructured data ensuring the DB performance, data availability and responsiveness. Integrate data from different sources, including APIs, databases, and external services ensuring the data synchronization and data versioning. Full-stack data solutions development – web Front-end, back-end Api, and Database to data visualization Responsible to ensure the product quality and deployment to different environments Opportunity to experiment with Large Language Model, assist and develop predictive analysis, and/or statistical modelling Visualize data, metrics, and patterns to produce insightful analytics, summarization and collaborate with business teams on implementation Contribute to the design and implementation of various data foundations and architecture to support long-term analytical needs Be able to research independently for potential solutions to problems encountered in programming Maintain, monitor, and improve data science ecosystem: data pipeline, statistical model development and/or business applications What you'll need: Bachelor’s or Master’s degree in quantitative domains: Mathematics, Statistics, Computer Science, or Engineering. Minor or advanced degree in Finance is an asset. 5+ years’ experience in business-oriented data science and analytics. Passion for data analysis and problem solving to support investment decision making Self-motivated, ability to do independent research Strong communication skills, ability to articulate thoughts / ideas to effectively collaborate with a variety of teams from both investments and technology Strong desire to work in a team-based and collaborative environment Strong programming skills (e.g. .Net Technologies, Python, SQL) Experience with data warehousing and big data technologies such as SQL Server, Snowflake, Spark, Databricks etc. Full-stack programming experience with React/Angular, C#/Python Flask Experience with Automated Testing for data pipelines and workflows Familiarity with CICD (Continuous Integration and Continuous Deployment) practices for data engineering projects Proficient with data visualization tools: PBI/Tableau etc. Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) High degree of interest in investment and asset management. Experience in industry or an academic setting of: Full cycle of analytics solution development Business oriented data engineering life cycle: data mining, ETL, development, testing, deployment, monitoring, production support. Machine Learning engineering experience is an asset Strong problem-solving skills working in a team-based environment Job Type: Full-time Contract length: 6 months Pay: $70.00-$90.00 per hour Schedule: Monday to Friday Work Location: Hybrid remote in Toronto, ON M2M 4G3