Data Engineer

About Four Seasons:

Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.         
At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.

About the location:

Four Seasons Hotels and Resorts is a global, luxury hotel management company. We manage over 120 hotels and resorts and 50 private residences in 47 countries around the world and growing. Central to Four Seasons employee experience and social impact programming is the company’s commitment to supporting cancer research, and the advancement of diversity, inclusion, equality and belonging at Four Seasons corporate offices and properties worldwide. At Four Seasons, we are powered by people and our culture enables everything we do.

The Azure Data Engineer is a technical leader in our Technology, Innovation & Data team, supporting our Data & Analytics commercial data engineering team.  Responsibilities include the design, build, optimization, and maintenance of experiments, prototypes and products across Four Seasons Microsoft Azure’s Data Platform including Databricks.

The Azure Engineer will use modern and innovative technology to help business partners realize actionable insights and value from Four Seasons enterprise data platforms. This includes but is not limited to the design and build of data extraction, transformation, and loading processes by developing custom data pipelines. 

The Engineer will be valued member of an internal Data Engineering capability working together to discover to define requirements, use cases and outcomes.  As a member of the IT Delivery team, the Engineer will build, configure, secure, migrate, optimize, and refactor Azure data platform solutions which includes Ingestion, ETL/ELT, Storage, Data Lakes, Delta Lakes, Data Warehouses, Lakehouses and Data Modelling.

The candidate is capable of working with all levels of the organization with an ability to understand and translate institutional knowledge into technical solutions.  Strong service, communication and problem-solving skills are key.

This role is based in Four Seasons Hotels and Resorts, Toronto Corporate Office, reporting to the Manager, Data Engineering. This role involves interactions with internal executive stakeholders and project sponsors, technical operations and development teams, Four Seasons IT, end-user contracts and product users. Externally, the role will interact with various Four Seasons partners and data solution providers, Microsoft, and source data providers.

What You’ll Be Doing

Data Engineering:

• Design, develop, and test efficient batch processing and streaming XLT processes using Microsoft Azure, Databricks and Delta Lake

• Design and optimize PySpark, Python code and must be able to write re-usable production level code

• Design and optimize the SQL syntax and queries for faster data processing

• Dimensional modelling experience is mandatory

• Design and develop Tabular models in Azure Analysis Services/Power BI

• Adoption of best development practices for batch processing and stream processing

• Managing all work in Jira including but not limited to story creation, defect resolution etc

• Documentation of the work in Confluence

• Identifies opportunities for new architectural initiatives and makes recommendations on the increasing scalability and robustness of platforms and solutions.

Who You Are

• Excellent analytical, mathematical, and creative problem-solving skills.

• Excellent listening, interpersonal, written, and oral communication skills.

• Logical and efficient, with keen attention to detail.

• Ability to effectively prioritize and execute tasks while under pressure.

• Able to exercise independent judgement and act on it.

• Experience working in a team-oriented, collaborative environment.

• Ability to lead technical teams through outage and technical roadblock situations.

• Ability to prioritize competing requests for resources.

• Ability to translate business needs into data requirements and priorities.

• Ability to devise and apply logical steps to troubleshoot issues and test new development.

• Ability to engage in the role from multiple angles, as trainer, helpdesk support person, tester and analyst.

• Process-oriented capability and skills.

• Proven experience providing excellent customer service to internal system users.

• Demonstrated time, task and project management skills including planning, organizing and managing resources.

Technical Skills:

• Experience with Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse Analytics, Data Bricks, Delta Live Tables, AAS, Cosmos DB, FunctionApps, Logic Apps etc)

• Expert knowledge in SQL

• Skilled in core data warehousing platforms

• Strong programming skills in Python or Scala and , PySpark and SparkSQL

• Microsoft Power BI delivery and support

• Microsoft Power Platform delivery and support

• Azure AI/ML skills and delivery.

• Working with large data sets

• Experience with Confluence, Jira, TestRail

• Knowledge of Helpdesk Tools and methods

• Experience working with Microsoft Visio or similar software ( Lucid Charts, draw.io etc)

• Skilled with Microsoft Visual Studio

• Proficient with GIT hub or Azure DevOps

What You Bring

• 5+ years of IT industry experience with the data related projects.

• Minimum 4+ years of experience in ETL development, data modeling, data warehouse design and development, data migration related projects.

• Very good understanding of data warehousing concepts, data modeling concepts, performance improvement

• 2-3 years’ experience in Data Engineering, Visualization and Analytics in Azure environments using Azure Databricks, Delta Lake, Azure Data Lake, Synapse Analytics, Azure Data Factory, Function Apps, Analysis Services and Power BI

• Desired to have 2-3 years’ experience in AI/ML projects and implementations

• University or higher degree in Engineering, Mathematics, Information Systems, Computer Science or Technology

• Completion of Databricks Associate Spark Developer or Databricks Associate Data Engineer or Databricks Professional Data Engineer Certification

• Completion of Azure Data Engineer Certification

This role will be a Hybrid working model, which will require 3 days per week in the Four Seasons Corporate Office located at 1165 Leslie Street, Toronto, Ontario #LI-Hybrid 

Four Seasons is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.