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Cloud Security Data Engineer at Procom

Cloud Security Data Engineer

Procom Toronto, Ontario Contractor
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Cloud Security Data Engineer

On behalf of our client in the Banking Sector, PROCOM is looking for a Cloud Security Data Engineer.
Cloud Security Data Engineer – Job Description

  • Architect and design secure cloud data pipelines: Managed data pipelines consist of a series of stages through which data flows
  • Architecting, creating and maintaining data pipelines will be the primary responsibility of the data engineer
  • Secure data traveling through pipelines using modern, automated transformation and obfuscation techniques
  • Define and govern metadata elements for large data sets which will be leveraged by data protection tooling to determine the appropriate protection techniques
Cloud Security Data Engineer – Mandatory Skills
  • 5+ years of relevant information security and information risk management experience
  • 3+ years of relevant experience in Azure cloud security, including IaaS, PaaS and SaaS
  • At least 6 years or more of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  • Strong experience with popular relational and non-relational database environments including SQL, PL/SQL, NoSQL/Hadoop, MongoDB, Cassandra, and others.

Cloud Security Data Engineer – Nice to Have Skills

  • Experience with metadata management tools for large datasets and the application of ABAC controls through the metadata
  • Experience with data mining and visualization tools such as DataBricks and Tableau
  • Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, C++, Scala, and others.

Cloud Security Data Engineer - Assignment Start Date

ASAP – 6 months

Cloud Security Data Engineer - Assignment Location

Downtown Toronto (work from home for now)


Recommended skills

Data Integration
Data Mining
Software As A Services
Infrastructure As A Service (Iaa S)
Meta Data Management
Java (Programming Language)
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