Job Title: Senior Data Engineer – DatabricksJob ID: 86341Location: Toronto, Ontario – HybridOverviewAs a Senior Data Engineer, you will work on an enterprise-wide Centralized Data Platform (CDP) built on Databricks, contributing to our data infrastructure, API integrations, and future AI initiatives, while collaborating with data scientists, analysts, and business stakeholders to transform raw financial data into actionable insights; you will build and maintain data pipelines on the Databricks Lakehouse Platform using agile methodologies, develop scalable ETL/ELT processes, implement data quality controls, and ensure data governance standards are met, all within our AWS cloud environment to power critical business operations with the highest standards of data security and compliance. This role offers the opportunity to work with cutting-edge technologies while solving complex data challenges in a global financial services workplace. You’ll be part of a team driving technical excellence and innovation within the data engineering practice.What you will be doingDesign and develop Databricks solutions leveraging Lakehouse architecture for enterprise data processing and analyticsDevelop and optimize ETL/ELT pipelinesCreate and manage structured streaming pipelines for real-time data processingConfigure and optimize Databricks clusters and Spark jobs for optimal performanceUtilize Delta Live Tables for data ingestion and transformationsApply Unity Catalog features and IAM best practices for security governance and access controlSupport infrastructure and resource management using TerraformParticipate in Agile/Scrum development process and collaborate with team membersImplement monitoring solutions for pipeline performance and data qualityContribute to code reviews and knowledge-sharing sessionsWhat you must have6+ years of experience in data engineering2+ years of hands‑on experience with Databricks platformStrong expertise in Python and Spark programmingDemonstrable experience in using AI in developmentProven experience with AWS or other similar cloud servicesDeep understanding of data modeling and SQLExperience with Delta Lake and Lakehouse architectureStrong knowledge of ETL/ELT principles and patternsExperience with version control systems (Git)Demonstrated ability to optimize data pipelinesStrong problem‑solving and analytical skillsExcellent communication and collaboration abilitiesNice to haveFinancial services industry experienceExperience with multiple cloud providersKnowledge of AI/ML implementation patternsAPI development experienceExperience with real-time data processingData governance framework experienceSalary/Rate Range: $120,000.00 – $150,000.00Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.For more information about TEEMA and to consider other career opportunities, please visit our website at www.Teemagroup.Com#J-18808-Ljbffr

📌 Sr. Data Engineer – Databricks - C$120,000 - C$150,000 A Year (Toronto)
🏢 TEEMA
📍 Toronto