Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for designing, integrating, and deliveringstate-of-the-artsimulation and training systems,you’lltackle complex challenges, collaborate across functions, and lead advancements that shape the future of our industry. Supported by a culture that fosters flexibility, growth, and technological excellence, our engineers are empowered to make a meaningful impact every day. Whether your passion lies in data, mechanical, or aerospace engineering, CAE provides the environment to refine your skills and createa lasting legacyin safety and simulation
Key Responsibilities:
We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git, Microsoft Fabric, and medallion architecture acrossBronze, Silver, and Goldlayers. In this role, you will design and improve scalable data solutions, help guide technical decisions, review and write code, support team members, and promote strong engineering practices.
Platform Architecture and Data Engineering
Build andmaintaindata solutions in Microsoft Fabric across Bronze, Silver, andGoldlayers using CAE’s data platform framework.
Support and improve the enterprise data platform, including data warehouses and data lakes.
Design, build, andmaintaindata pipelines using SQL and big data tools such as Spark, Kafka,orHadoop.
Develop reliable processes to ingest, transform, and deliver data from a variety of sources.
Integrate data from internal, external, and IoT sources to support business needs.
Build andmaintainbackend data solutions that support analysts, data scientists, and other business users.
Operations, Quality, and Delivery
Apply DevOps practices to improve the development and deployment of data solutions.
Identifyopportunities to automate manual work and improve data delivery processes.
Follow data governance, architecture, and security standards.
Monitor data pipelines and provide support when issues arise.
Collaboration and Technical Leadership
Work closely with product teams, data experts, architects, and other stakeholders to solve technical issues and support data platform needs.
Help guide technical decisions, review code, and share best practices with the team.
Collaborate with cross-functional teams on data and AI initiatives.
Stay current with industry trends and recommend improvements to the platform and delivery processes.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field. A master’s degree is an asset.
At least 6 years ofexperience in data engineering with strong hands-on coding in Python, Spark, SQL, and related scripting languages.
Experience using Visual Studio Code and Git in modern development workflows.
Requiredhands-on experience with Microsoft Fabric, includingLakehouses,OneLake, pipelines, notebooks, and medallion architecture acrossBronze, Silver, and Goldlayers.
Strong understanding of computer science fundamentals, includingdata structuresandalgorithms.
Experience with Terraform.
Experience working with cross-functional teams in a fast-paced environment.
Experience with relational and NoSQL databases, including SQL Server, PostgreSQL, and Cosmos DB.
Preferred Qualifications
Experience with workflow and orchestration tools such as Azure Data Factory and Airflow.
Experience with DevOpsandGithuband infrastructure deployment tools such as ARM.
Experience with Microsoft cloud and data platforms such asFabric, Azure,Databricks, and Purview.
Knowledge of medallion architecture acrossBronze, Silver, and Goldlayers.
Experience with stream-processing technologies such as Spark Streaming.
Familiarity with Kubernetes.
Proficiencyin Power BI for reporting and data visualization.
Benefits
About CAE
Position Type
Regular
Equal Opportunity & Accommodations
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