Int. Azure Platform Engineer with Databricks, Data Factory & Purview experience for our insurance client

Int. Azure Platform Engineer with Databricks, Data Factory & Purview experience for our insurance client

Location: Hybrid (3 days in office - Toronto or London, ON)

Responsibilities:

• Collaborate with data engineers, data scientists, and stakeholders to understand complex data requirements.
• Assist in designing, developing, and optimizing data pipelines, architectures, and data sets, ensuring efficient data ingestion, transformation, and reliable delivery using Microsoft Azure and Informatica/IICS to support data mesh architecture.
• Develop, automate, optimize, and fine-tune data platform provisioning, scaling, and maintenance tasks to enhance operational efficiency, performance, scalability, and cost-effectiveness.
• Implement DevOps pipelines for code promotion.
• Ensure data security, compliance, and governance standards are consistently met across the data platform, adhering to global data engineering standards and principles.
• Develop foundational knowledge in data warehouse/lake solutions, data mesh architectures.
• Creation of all infrastructure required to implement ingestion pipelines by DTS
• ***Must be willing to perform production support outside of regularly scheduled hours***

Must Have Requirements:

• Eligible or posses Protected - B Security Clearance
• 5+ Years experience as Azure Platform Engineer and who is individual contributor..
• Experience in working cloud-native systems following IaC and DataOps principles (Git repo/Jenkins/terraform, CI/CD, Orchestration, Actions)
• Experience in working in Azure cloud following Azure Databricks, Azure Data factory and Purview etc.
• Familiar with firewall/network rules.
• Interest in data integration technologies, cloud platforms, and data engineering tools.

Nice to have:

• Knowledge on Syncsort
• Experience in the Insurance or Financial industry

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