Senior Data Engineer

Scotiabank • Toronto, ON

20d • Onsite

About The Position

We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing team. In this role, you will be responsible for designing, building, and maintaining scalable data architectures that support our data-driven initiatives. You will lead a team of engineers, collaborate with cross-functional teams including data architects, solution architects, business systems analysts and data engineers and ensure that our data infrastructure is robust, secure, and optimized for performance.

Requirements

• Experience building data pipelines, and composable cloud-based data platforms (Azure)
• Experience working with Lakehouse platforms: Databricks
• Experience with data engineering, programming, ETL and ELT processes for data extraction and processing
• Experience working with structured, semi-structured, and unstructured data.
• Strong programming and scripting skills (SQL, Python, Java, Scala)
• Strong knowledge of cloud infrastructure and microservices architecture
• Experience in creating technical design documentations, both logical and physical view
• Experience collaborating and working with DevOps, Scrum, and Product Teams
• Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
• Solid communication skills – ability to translate complex technical problems to business language
• Experience in leading and driving technical discussions
• Expert at problem solving and debugging
• 8+ years of experience working with Data Warehouse / Data Platforms
• 5+ years of experience creating ELT / ETL data pipelines, working with structured, semistructured, and unstructured data
• 5+ years of experience working on continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform
• Must have 5+ years of experience in Cloud: Azure
• Must have 5+ years of experience in Lakehouse: Databricks

Responsibilities

• Design, build, and maintain scalable, resilient data pipelines to support the ingestion, processing, and distribution of large datasets.
• Leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving efficiency across the data engineering lifecycle.
• Partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform.
• Implement observability capabilities and continuously optimize application services and pipeline performance.
• Perform data quality validation to ensure accuracy, reliability, and consistency of data assets.

Benefits

• Diversity, Equity, Inclusion & Allyship
• Accessibility and Workplace Accommodations
• Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
• Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
• Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed