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Data Engineer

Regina, SK, Canada

Job Type

Full Time

About the Role

Requirements

Successful Data Engineer candidate will have:

  • Degree or Diploma in Computer Science / Engineering, Data Sciences or other quantitative

    discipline;

  • 5+ years’ experience in ETL, data design, data architecture, data management and data modelling;

  • Expert proficiency with SQL Server and SSIS is required;

  • Create and maintain data pipelines and ETL processes;

  • Experience with Python, big data tools and cloud services considered an asset;

  • Be responsible for monitoring and addressing database issues and problems and ensuring they are

    in line with company policies and any external regulations that may apply;

  • Provide insight into the changing database integration, storage and utilization requirements for the

    company and offer suggestions for solutions;

  • Oversee the integration of data from legacy and on-premises systems to new solutions;

  • Working knowledge of data management as laid out by Data Management Association (DAMA) and

    the Data Management Body of Knowledge (DMBoK);

  • Ability to communicate technical information effectively in an easy to understand language;

  • Educate staff members through training and individual support;

  • Knowledge and exposure to data privacy and confidentiality regulations such as Personal

  • Information Protection and Electronic Documents Act (PIPEDA);


Typical activities in the Data Engineer role include:

  • Work closely with the Enterprise Analytics team to create and maintain ELT processes;

  • Assemble large, complex datasets that meet functional / non-functional business requirements;

  • Consulting Business leaders on data and information management practices and

    governance;

  • Identify, design, and implement internal process improvements: automating manual processes,

    optimizing data delivery, re-designing infrastructure for greater scalability, etc.;

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other technologies;

  • Work with stakeholders including the Executive, to assist with data-related technical issues and

    support their data infrastructure needs.

  • Create data tools for analytics and data scientist team members that assist them in building and

    optimizing our business.

  • Work with data and analytics experts to strive for greater functionality in our data systems.

  • Championing efforts to improve business performance through enterprise information capabilities,

    such as master data management (MDM), metadata management, analytics, content management,

    data integration, and related data management or data infrastructure;

  • Provide insight into the changing database integration, storage and utilization requirements for the

    company and offer suggestions for solutions;

  • Monitor and understand Information Management trends and emerging technologies.

About the Company

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