Data Engineer(Terraform, Azure Data Factory, SSIS)

Job# FT30594
Location Alberta, AB
Job Type Contract
Salary Negotiable
Contact [email protected]
Status ACTIVE
Date Posted August 20, 2025
Submission Deadline August 27, 2025
Job Stream
Benefits Duration:  01/10/2025 to 30/09/2026

Details

Job Description :Our client is looking for a Data Engineer(Terraform, Azure Data Factory, SSIS) remote in Alberta

Must Have Primary Skills :
  • Bachelor degree in Computer Science, IT or related field of study.
  • Designing efficient dimensional models (star and snowflake schemas) for warehousing and analytics
  • Ensuring data quality, security, and governance
  • Experience in application development, with working knowledge of modern technologies including Next.js, Node.js, D3.js, GitHub Actions, and Build Master automation.


Nice To Have Secondary Skills :
  • Experience in application development, with working knowledge of modern technologies including Next.js, Node.js, D3.js, GitHub Actions, and Build Master automation.
  • Experience with databases and data integration, including PostgreSQL, MongoDB, Azure Cosmos DB, Azure Synapse, and Talend.


Proven Experience In :
  • Experience as a Data Analyst, Data Engineer or in a similar role
  • Experience using Git, collaborative workflows, CI/CD pipelines, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform, ARM, CloudFormation) to deploy and migrate data solutions.
  • Experience with manipulating and extracting data from diverse on-premises and cloud-based sources
  • Experience with SSIS, Azure Data Factory (ADF), and using APIs for extracting and integrating data across multiple platforms and applications
  • Performing migrations across on-premises, cloud, and cross-database environments
  • Experience with databases and data integration, including PostgreSQL, MongoDB, Azure Cosmos DB, Azure Synapse, and Talend.
  • Exposure to AI/ML tools and workflows relevant to data engineering, such as integrating AI-driven analytics or automation within cloud platforms like Databricks and Azure.
Email: [email protected]
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