Int. Azure Platform Engineer with Databricks, Data Factory & Purview experience for our insurance client
Duration: 6 Months (Extensions Likely)
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 Clearance5+ Yearsexperience as Azure Platform Engineer and who is individual contributor.. Experience in working
cloud-native systemsfollowing IaC and DataOps principles (
Git repo/Jenkins/terraform, CI/CD, Orchestration, Actions) Experience in working in Azure cloud following A
zure Databricks, Azure Data factoryand
Purviewetc. 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
