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Manager, Data Engineering

Manager, Data Engineering

Yoush ConsultingToronto, ON, ca
30+ days ago
Job description

Welcome to Yoush Consulting. Yoush Consulting provides project management and information technology expertise to help our clients deliver their projects.  Our client is looking to hire a Manager in data Engineering and we are helping them find an excellent one.

Azure DevOps Engineer with D365 and F&O experience -  As a Data Engineer, you will be responsible for building and maintaining the systems and processes that allow for the extraction, transformation, and loading (ETL) of data from various sources into our Azure-based data ecosystem.

Responsibilities : M anage, guide, and assist a team of data engineers to provide :

  • Provide a   detailed   review   and   assessment   of   the   enterprise   data   warehouse   environment   and proposed changes and implementation plan to improve scalability and performance
  • Design   and   develop   SSIS   ETL   process   using   table   partitioning   with   a   focus   on   performance improvement of large tables
  • Design   and   develop   Power   BI   reports   to   show   SSIS   package   run   duration   and   trend   over   time
  • Perform data   analysis   and   provided   suggestions   and   feedback   to   the   team   to   design   and develop optimized SQL Queries and   Stored Procedures (SCD Type1, SCD Type2 using Hash bytes) to improve performance
  • Design   and   implement   an   operational   process   to   provide   a   high-level   summary   of   SQL Server and database environment to assist in the upgrade and migration of SQL Server databases to newer versions

Requirements

  • 5+ years' experience in leading a high-performance technical team
  • 5+ years of progressive Data Engineering experience in Python, R, SQL and PowerShell scripting
  • Mandatory experience with Azure Synapse and DW technologies, Microsoft Data Technologies (Azure Data Factory, PowerBI, etc.)
  • Experience with Azure (app services, API management, security features)
  • Experience in organizing and conditioning data and conducting big data analysis
  • Excellent written and verbal communication skills : ability to clearly communicate with business and technical stakeholders
  • Strong problem-solving and analytical abilities, creativity, and insight with the ability to address complex situations with stakeholders
  • Knowledge of machine learning is a strong asset
  • Knowledge and some experience in data science, predictive modelling is a strong asset

    • Application Experience :

  • Experience with applications such as Azure DevOps, Microsoft Dynamics 365, iFirm, Workday, Power BI, and Systems Integration

    • Education :

  • Degree in Computer Science, Math, Statistics or STEM-related field. A Masters Degree and / or Ph.D is a strong asset, but not required
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    Manager, Data Engineering • Toronto, ON, ca