Data Engineer
Data Engineer
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Job Description
Data Engineer
6 Months
Toronto location. Hybrid work culture in downtown office.
Note: There will be a coding test round
What is the opportunity
Capital Markets Data AI and Research Technology (DART) team is looking to hire a Data Engineer to build manage and deploy cutting edge Data solutions.
What will you do
Design build and optimize scalable data pipelines to support Research Digitization Banking Global Markets and Data Monetization use cases
Develop and operationalize data products across structured and unstructured sources including alternative data
Deploy manage and performancetune largescale Spark workloads on Databricks ensuring reliability scalability and costefficiency
Collaborate with data scientists quant teams and business stakeholders to enable datadriven decisionmaking
Contribute to automation efforts via CI/CD pipelines infrastructureascode and reusable data frameworks
Must Have
Strong experience with Python and Spark (PySpark)
Handson with Databricks (Jobs Workflows Delta Lake Unity Catalog)
Proficient in SQL for complex data transformations and optimizations
Proficient in CI/CD principles version control and best practices for deploying workloads to production
Solid understanding of distributed data processing and productiongrade data workflows
Nice to Have
Exposure to Machine Learning workflows and tools like MLFlow
Exposure to Generative AI stack (LLMs Agents MCP Servers)
Familiarity with Snowflake Airflow or similar orchestration and warehousing platforms
Remote Work :
No
Employment Type :
Contract
Employment Type
Contract
