Int. Azure Platform Engineer with Databricks, Data Factory & Purview experience for our insurance client
S.i. Systems
Toronto, ON-
Number of positions available : 1
- Salary To be discussed
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Contract job
- Published on October 31st, 2024
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Starting date : 1 position to fill as soon as possible
Description
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
Requirements
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