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

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Starting date : 1 position to fill as soon as possible

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 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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