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Senior DataOps/Cloud Data Engineer

https://www.randstad.com Logo

Randstad

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Location:
Canada, North York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Senior DataOps/Cloud Data Engineer role focuses on building and optimizing cloud-based data infrastructure using Microsoft Azure technologies. The engineer will support complex data migration, data pipeline development, CI/CD implementation, database performance tuning, and end-to-end database administration. Responsibilities include designing and deploying data warehouses, data lakes, and lakehouses, developing automated scripts, resolving incidents, and supporting large-scale data provisioning in SaaS, PaaS, and IaaS environments. This position demands expertise in Azure DevOps, DACPAC, PL/SQL, and SQL Server, as well as strong hands-on experience in cloud monitoring and data performance tuning.

Job Responsibility:

  • Design, develop, and optimize data/database CI/CD pipelines using Azure tools
  • Develop and maintain database change processes using DACPAC and Azure DevOps
  • Implement and monitor data migration, conversion, and loading processes
  • Architect and manage fact/dimension models, data warehouses, lakes, and lakehouses
  • Administer, configure, and optimize Azure SQL, Synapse, and Oracle databases
  • Build and test scripts for backup, recovery, and automation
  • Troubleshoot and resolve incidents, optimize database performance
  • Document designs, implementations, and provide knowledge transfer to teams

Requirements:

  • Minimum 5+ years of expert-level experience with Microsoft Azure technologies (Azure DevOps, pipelines, storage, key vault, virtual machines, monitoring tools)
  • Proven experience with DACPAC deployment and cloud-based CI/CD automation
  • Strong hands-on expertise in Azure SQL Database, Synapse, and Oracle database administration
  • Proficiency in PL/SQL, SQL Server stored procedures, performance tuning
  • Skilled in building data platforms supporting structured, semi-structured, and unstructured data
  • Familiarity with DataOps principles, Agile development, and cloud-based data replication

Nice to have:

Certifications in Microsoft Azure technologies

What we offer:
  • Hands-on exposure to cutting-edge Microsoft Azure cloud technologies
  • Opportunity to lead critical data migration and provisioning initiatives
  • Engage in full-cycle CI/CD data pipeline development and automation
  • Involvement in high-performance OLAP and OLTP environment transformation
  • Collaborative knowledge transfer and team contribution opportunities

Additional Information:

Job Posted:
May 25, 2025

Expiration:
July 03, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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