דרושים Threat Detection Engineer ב-Ey ב-Canada, Toronto

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.

Your Key Responsibilities

As an experienced Senior Penetration Tester your primary focus with be performing offensive security engagements including, but not limited to, penetration testing (Infrastructure and Application), Red Team assessments, Social Engineering assessments, and Adversary Simulation. The focus of these assessment will be to emulate various real-world threats and threat actors attempting to gain access to enterprise networks and achieve a set of defined objectives, such as obtaining domain admin privileges, gaining access to sensitive information, or simulating a ransomware attack. You will be responsible for remaining up to date on current threat intelligence and threat actor groups, along with their techniques/tools, to replicate during client engagements.

Additional responsibilities include identifying and exploiting vulnerabilities in enterprise networks, application, and cloud environments using both off-the-shelf and in-house built tools, including both automated and manual approaches. Development of custom exploits to bypass security measure in place or exploit vulnerabilities where proof-of-concept/public exploits may not be available. Development of detailed reports and presentations for variously clients across many industries for both executive and technical audiences.

Client Responsibilities

• Demonstrate in-depth technical capabilities and professional knowledge with the ability to assimilate new knowledge quickly and in fast paced environments.
• Demonstrate and apply a thorough understanding of complex information systems.
• Use knowledge of current cybersecurity industry trends to identify new exploits, attack vectors, and vulnerabilities, and communicate this information to the engagement team and client management through written correspondence and verbal presentations.
• Lead client calls and discussions with both the executives and technical team members with a demonstrated ability to communicate technical observations concisely to executive leadership while effectively describing the risk impact to the organization.

People Responsibilities

• Contribute to people-related initiatives, including development, coaching, recruiting, training, and retaining staff.
• Maintain an educational program to continually develop the personal skills of yourself and other operators.
• Understand and follow workplace policies and procedures.

Skills and Attributes for Success

Desired qualifications include:

• Undergraduate or masters’ degree preferably in one of the following areas: Information Systems Security, Computer Science, Computer Engineering, or other related majors.
• 5+ years of recent offensive security experience (internal, external, and application penetration testing, red teaming, adversary simulations, social engineering, etc.).
• Extensive and proven practical experience conducting penetration tests and red team assessments.
• Possession of certifications such as OSCP/OSCP+, OSWE, OSEP, OSED, OSEE, etc.
• Experience in working independently or as part of a large team to deliver offensive security services as standalone deliverables or within large, complex projects.
• Experience writing and analyzing complex code related to exploit development and analysis.
• Expertise in developing malware and custom tooling that remains undetected by enterprise endpoint protections.
• Experience with performing manual and automated OSINT collection and organizing findings
• Strong knowledge of modern offensive security tools and frameworks, such as Kali/Parrott (or other Linux distributions) and their associated toolkits, Bloodhound, nmap, BurpSuite, Impacket,
• Metasploit, Responder, Tenable/Qualys, Wireshark, SQLMap, Hashcat, Aircrack suite, various C2’s etc.
• Familiarity with all stages in the MITRE ATT&CK Framework.
• Excellent interpersonal, written, verbal, communication, and presentation skills.
• Excellent analytical skills and knowledge of data analytics methods.
• Demonstrated leadership abilities.

Your key responsibilities

• Pipeline Architecture & Development: Design, build, and maintain scalable, reliable, and high-performance data pipelines using Azure Data Factory, Databricks, and Spark to support machine learning and analytics workloads.
• ETL & Data Integration: Lead the creation and optimization of ETL processes for structured and unstructured data, ensuring data quality, lineage, and compliance with enterprise standards.
• Feature Store Management: Develop and manage feature stores to streamline the reusability and governance of engineered features for AI and ML models.
• ML Ops and Automation: Implement robust MLOps workflows that enable continuous integration, deployment, monitoring, and retraining of ML models in production environments.
• Collaboration: Partner with data scientists, ML engineers, and business stakeholders to translate analytic requirements into scalable data solutions, and provide guidance on best practices for data engineering in an AI context.
• Communication: Excellent communication skills to collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.
• Cloud and Security: Ensure secure data movement and storage by applying security best practices and compliance protocols within Azure cloud environments.
• Continuous Improvement: Stay current with advancements in data engineering, MLOps, and cloud technologies, and proactively apply new techniques to enhance existing solutions.

Skills and attributes for success

• Education: Bachelor’s or Master’s degree in Computer Science, Information Management, Data Engineering, or a closely related technical field.
• Experience: 4-6 years of professional experience in data engineering, with a strong emphasis on ML Ops, data pipelines, and large-scale ETL/ELT processes.
• Technical Skills: Advanced proficiency in Azure Data Factory, Databricks, and Apache Spark for designing and implementing complex data pipelines and distributed data processing jobs; expertise in
• ETL/ELT processes, data wrangling, and integrating diverse data sources into unified, high-quality datasets suitable for AI and analytics applications.
• MLOps and Workflow Management: Hands-on experience with feature store management and supporting ML and AI workflows in production environments; solid understanding of MLOps principles,including CI/CD for machine learning, automation of model deployment, and monitoring practices.
• Programming and Scripting: Proficient in SQL and Python for data transformation, orchestration, and automation tasks; familiarity with additional programming languages (e.g., Scala, R) is a plus.
• Cloud Technologies: Experience with cloud-native tools and services (e.g., Azure, AWS, Google Cloud) for data storage, processing, and orchestration.
• Data Security and Compliance: Working knowledge of data security, privacy, and compliance regulations (e.g., GDPR, HIPAA) in cloud-based solutions, ensuring data governance and protection.
• Analytical and Problem-Solving Skills: Strong analytical skills to troubleshoot data-related issues and optimize data workflows for performance and efficiency.

Your Key Responsibilities:

• Work with a variety of Canadian clients across different industries to understand their specific cloud computing needs and objectives.
• Design and implement tailored cloud infrastructure, applications, and platform solutions.
• Create and execute cloud implementation strategies, specific to each client.
• Monitor, maintain, and troubleshoot cloud-based systems, ensuring optimal performance and reliability.
• Train and support clients during the cloud transition process, maintaining good client relationships.
• Develop comprehensive backup and recovery strategies that comply with Canadian business continuity standards.
• Communicate complex cloud concepts, ensuring that relevant stakeholders understand the risks and benefits.
• Follow EY methodologies and use EY tools to deliver seamless and compelling cloud solutions.
• Stay current with trends and developments in cloud computing, with a particular focus on their relevance to the Canadian market.
• Ensure EY's quality and professional standards are maintained.
• Collaborate with other EY teams to create integrated solutions.

To qualify for this role you must have:

• Bachelor’s degree in computer science, IT, Systems Engineering, or a related field. Higher degree or equivalent experience is preferred.
• 3-5 years of design and implementation experience as a Cloud Engineer with prior consulting experience.
• Designing and deploying scalable, highly available, and fault-tolerant systems majorly on Azure cloud platforms.
• Implementing and managing Azure cloud infrastructure and services, including compute, storage, networking, and databases.
• Migrating existing on-premises applications and services to the cloud.
• Experiences with Migrations tools such as Azure HCX and Site Recovery for efficient cloud migration processes.
• Design and implement robust cloud infrastructure solutions and develop and manage hub and spoke architecture on the Azure platform.
• Demonstrate expertise in Azure networking, including ExpressRoute, VPNs, Route tables, vNET, and vNET peering.
• Worked with concepts of Azure active directories, Azure functions, storage accounts, Azure Migrate, Azure HCX, and Site Recovery and apply knowledge of Azure App Service and Azure Migrate to support application deployment and migration

Experience in Automation (must have) and Orchestration:

• Automating repetitive tasks using scripting languages (e.g., Python, Bash) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
• Implementing orchestration solutions to manage complex workflows and dependencies across multiple cloud services.

Experience in Security and Compliance and Maintenance & Optimization:

• Ensuring cloud environments comply with relevant security standards and regulations.
• Implementing and managing security measures such as firewalls, identity and access management (IAM), and encryption & conducting security audits and risk assessments.
• Monitoring cloud environments to ensure optimal performance and cost-efficiency & performing regular maintenance tasks, updates, and upgrades.

Experience in Collaboration and Support:

• Collaborating with development teams to support DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
• Must have excellent written and verbal communication skills in English, French language skills is a plus.
• Willingness to travel, as needed, to meet client needs and project commitments.
• Exhibits EY’s values – integrity, respect, and teaming, energy, enthusiasm, and the courage to lead.
  

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

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

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.

Your Key Responsibilities

• As a Cloud Data Engineer – Senior Consultant, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within
• EY and with clients.
• Deliver data preparation, transformations on Azure platforms including Azure Data Factory (ADF), Data Lake, fabric.
• Design and implement streaming data pipelines and work with large-scale, complex big data datasets and dispersed data sources in a business environment.
• Collaborate with clients to gather requirements, build data engineering pipelines in Azure, and implement proof of concepts.
• Support and collaborate with other Data Engineers and Data Scientists in the team.

Skills and attributes for success

• The ability to provide excellent client service and manage and build strong relationships both internally and externally.
• Work with the vendors to assess vendor products, understand vendor's delivery models and assist in implementing them at EY
• Ability to work across multiple projects with varied stakeholders.
• Demonstrate excellent interpersonal communication and organizational skills.
• Recognizes industry technology trends and emerging technologies, understands how they apply to EY and can drive their adoption into our organization
• Drives an ongoing communication plan to educate stakeholders on the purpose and benefits of data architecture
• Guide others in resolving complex issues in data architecture and solves complex, escalated aspects of a project

To qualify for the role, you must have

• Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering, or a related field.
• Awareness of emerging issues, including regulations, industry practices and new technologies
• Azure Data Factory (ADF) experience is mandatory and experience in building streaming pipelines on Azure.
• Minimum 5-7 years' experience in Data Engineering.
• 3+ years of experience in Azure Data Engineering (ADF).
• Expertise in data lake, fabric, azure data analytics.

Ideally, you’ll also have

• Interest in Azure Data Analytics along with experience in programming is a highly desired. You will need to demonstrate strong technical problem-solving abilities
• Data Visualization
• Data Bricks assets Bundles (DAB)
• CI/CD
• Data Migration

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

The salary range for this job in British Columbia is $72,000 to $132,000. Individual salaries within this range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and work location city.

Our Data and Analytics practice provides expertise and delivery in four core areas of competency

• Data Management and Integration providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modelling, master data management and data rationalisation and migration. Design and implementation ETL solutions using one of the leading ETL packages (e.g., Informatica, Ab Initio, DataStage).
• Data Quality and Governance developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle;
• Reporting design, architecture and implementation of enterprise reporting solutions. This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, to vendor selection, design and implementation. Demonstrated experience and knowledge of at least one of the leading Business Intelligence Packages (e.g., Cognos, Business Objects, MicroStrategy, Tableau, SPSS, SAS); and
• Analytics covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data. The area of Analytics and Data Science is expected to be a key driver for growth in the coming year.

Your key responsibilities

As a Data Engineer, you will:

• Lead event stream analytics initiative and create the foundation for event data collection at EY Canada.
• Design and build highly scalable and responsive platform to collect the data across all the brands and all devices (mobile apps, desktop …)
• Work with teams across EY to drive the new platform adoption

Skills and attributes for success

• Strong analytical and creative thinking skills, must be a team player

To qualify for the role you must have

• CS Degree or equivalent experience
• Databricks
• Data Platform
• Data Engineering
• 5-10 years of experience building and shipping highly scalable clickstream data pipelines and analytics systems on distributed data systems and cloud platforms (AWS/Azure/GCP)
• Experience with Java, Scala, Python etc.
• Solid experience in streaming technologies like Kafka or Spark Streaming.
• Experience building batch, real-time and streaming analytics pipelines with data from event data streams, NoSQL and APIs.
• Experience with batch & stream processing technologies such Spark, KStreams, Samza etc.

Ideally, you’ll also have

• Experience with ETL tools/ ETL flows with complex Transformations/Routines using Python, PySpark, Java, Javascript, Bash Shell Scripting;
• User interface and query software (IBM DB2);
• Enterprise application integration software (e.g. XML);
• Data modeling tools (ERWin, Enterprise Architect and Visio);
• Experience in business intelligence fields - strong analytical skills with the ability to collect, analyze, design and disseminate significant amounts of information with high attention to detail and accuracy;
• Application server software (Oracle)
• Exceptional Database management - SQL skills/experience using MS SQL Server, MySQL, SSIS, SSMS, SQL Server Management Studio, PostgreSQ;
• Advanced skill in Scala
• Applied knowledge in Big Data platforms, ideally with exposure to Hadoop ecosystem (HDFS, Pig, Hive, SPARK, Big SQL, NoSQL, YARN);
• Experience in designing efficient and robust pipelines.

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.