As a Data Engineer specializing in Azure and PySpark, you'll lead the enhancement of our Investment Reporting System. Utilize your skills to develop cutting-edge cloud-native solutions and guide a team.

We are seeking an experienced Data Engineer who possesses extensive knowledge of Azure and PySpark to improve our Investment Reporting System. In this role, your leadership will be pivotal in steering the engineering team towards cloud-native architecture and implementing effective ETL pipelines.

Collaborating closely with Solution Architects will facilitate the successful execution of our engineering goals.

Key Responsibilities:
Lead the development of Azure-based ETL pipelines
Collaborate with architects to implement designs
Utilize Azure Data Factory, Databricks,



and other services
Enforce Dev Ops practices and CI/CD automation
Mentor team members through technical challenges

Requirements:
Proven experience in a Lead Engineer capacity
Expertise in Azure services and PySpark
Background in ETL development and database migrations
Solid communication and leadership capabilities
Prior experience in the Insurance industry is required

Bring your technical skills and passion for innovation to our team and enhance the Investment Reporting System.
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📌 Data Engineer Leading Azure Implementations Ottawa
🏢 Compunnel
📍 Ottawa