Field Engineer jobs in Canada

The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of EY.

Your Key Responsibilities

As a Data Engineer, you will:

• Design, construct, and maintain scalable data pipelines and ETL/ELT processes across Snowflake and/or Azure Databricks environments.
• Develop data processing workflows using Databricks Notebooks, Spark SQL, and/or Snowflake SQL.
• Optimize data storage and processing performance to support real-time analytics and business intelligence.
• Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications.
• Build and maintain data models, data marts, and data warehouses to support analytics and reporting.
• Implement data governance, security, and compliance best practices across cloud data platforms.
• Troubleshoot and resolve data processing issues, ensuring high data quality and integrity.
• Provide technical guidance on platform capabilities and mentor junior data engineers.
• Stay current with the latest features and trends in Snowflake, Databricks, and cloud data engineering.
• Develop and maintain documentation related to data pipeline architecture, development processes, and governance.

Skills and Attributes for Success

• Certifications such as Snowflake SnowPro, Azure Data Engineer Associate, or Azure Data Scientist Associate.
• Experience with BI tools like Power BI, Tableau, or Looker.
• Familiarity with machine learning frameworks, data science concepts, and big data tools.
• Experience with version control systems (e.g., Git) and workflow orchestration tools (e.g., Apache Airflow).
• Understanding of DevOps practices, CI/CD pipelines, and data integration techniques.

To Qualify for the Role, You Must Have

• A Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Proven experience as a Data Engineer with hands-on expertise in Snowflake, Databricks, and/or Azure.
• Strong programming skills in Python, Scala, or Java.
• Proficiency in SQL, data modeling, and data warehousing concepts.
• Knowledge of cloud platforms such as Azure, AWS, or GCP, and their integration with Snowflake.
• Experience with Apache Spark and its integration with Databricks.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment.

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Support and coaching from some of the most engaging colleagues in the industry
• Learning opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

As a Senior DevOps and Infrastructure Engineer, you will play an integral role in designing, building, and maintaining scalable, secure, and efficient infrastructure across Azure and AWS environments. With your expertise in container orchestration, CI/CD pipelines, Infrastructure as Code, and ML Ops, you will help drive automation, streamline deployment processes, and ensure robust security compliance throughout the software development lifecycle. The ideal candidate will possess hands-on experience with Kubernetes, Docker, Terraform, and cloud platforms while demonstrating the ability to collaborate across development, operations, and data science teams to enable transformative business outcomes.

Your key responsibilities

• CI/CD Pipeline Management: Design, implement, and manage CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Azure DevOps, ensuring integration of automated security and quality checks.
• Cloud Infrastructure Development: Develop and maintain scalable, secure cloud infrastructure on Azure and AWS using Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
• Kubernetes Management: Deploy, manage, and monitor Kubernetes clusters (AKS, EKS) to support containerized workloads, leveraging Helm charts for repeatable deployments.
• Containerization Standards: Implement and maintain containerization standards using Docker, focusing on security, scalability, and efficient resource utilization.
• Collaboration with ML and Data Engineering: Collaborate with ML and data engineering teams to enable ML Ops workflows, supporting reproducible model training, CI/CD for machine learning components, and automated deployment to production environments.
• Security Integration: Integrate and manage security tools and practices, such as container security scanning, secrets management, and compliance monitoring across cloud infrastructure and CI/CD pipelines.
• Monitoring and Logging Solutions: Set up and configure monitoring and logging solutions (e.g., Prometheus, Grafana, Azure Monitor, CloudWatch) to ensure high availability, performance, and rapid incident response.
• Architectural Design Participation: Participate in architectural design sessions, providing input on DevOps best practices, scalability, and security for new solutions and enhancements.
• Automated Testing Support: Support automated testing frameworks and contribute to code quality initiatives through integration with platforms such as SonarQube or Checkmarx.
• Operational Automation: Develop scripts and automation to streamline routine operational tasks, reduce manual intervention, and improve team efficiency (Python, Bash, PowerShell, or similar).
• Documentation Maintenance: Maintain robust documentation for infrastructure, deployment processes, and operational procedures, ensuring transparency and knowledge sharing across teams.
• Troubleshooting and Issue Resolution: Troubleshoot infrastructure, deployment, and pipeline issues, liaising with developers, QA, and support teams as needed to resolve complex problems.
• Industry Trends and Innovations: Stay current on industry trends, cloud service updates, and DevOps tooling, proactively recommending improvements and innovations to the platform ecosystem.

Skills and attributes for success

• Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• Experience: 4-6 years of hands-on experience in DevOps, Infra Engineering, or a related discipline.
• Certification: Relevant professional certifications (e.g., Azure/AWS Architect, Kubernetes Administrator, Terraform Associate, etc.) are an asset.
• CI/CD Pipeline Management: Design, implement, and manage CI/CD pipelines using tools such as GitHub Actions, Jenkins, and Azure DevOps, integrating security tools like AquaSec, Mend,
• Checkmarx, and SonarQube for enhanced DevSecOps practices.
• Infrastructure as Code (IaC): Develop and maintain scalable and secure infrastructure deployment using IaC tools such as Terraform, ARM Templates, or Bicep.
• Container Management: Manage and optimize Azure Kubernetes Service (AKS) clusters, including deployments using Helm charts, and implement container security with AquaSec to ensure compliance with best practices.
• Security Integration: Integrate Mend into CI/CD pipelines to manage open-source dependencies and vulnerabilities, perform static application security testing (SAST) using Checkmarx, and enable secure code scanning.
• Code Quality Analysis: Set up and utilize SonarQube to analyze code quality, enforce coding standards, and maintain high software quality.
• Application Deployment: Use Docker or similar containerization technologies to package and deploy applications consistently across different environments, and deploy applications on cloud platforms
• (AWS, Azure, Google Cloud) or on-premise servers, configuring web servers (Nginx, Apache) and managing domains and SSL certificates.
• Programming Skills: Basic proficiency in programming languages, particularly Python and .NET, for developing custom integrations and automating pipeline processes.
• Cloud Environment Knowledge: Strong understanding of cloud environments, specifically AWS and Azure, and their respective services to effectively manage and deploy applications in the cloud.