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    Data Engineer - Toronto, ON, Canada - Tundra Technical Solutions Inc.

    Tundra Technical Solutions Inc.
    Tundra Technical Solutions Inc. Toronto, ON, Canada

    1 week ago

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    Description

    The purpose of this role is to support the Director of Analytics at Scotiabank's Global Contact Centres in developing advanced analytics (AI / ML) capabilities through data engineering.

    The primary focus of the role is to work with the Customer Insights & Analytics Team and the Global Data & Analytics Team in building and maintaining data pipelines and assisting the MIS & Reporting team with designing and evolving departmental reporting platforms and infrastructure.

    We are technology partners who help the business transform how our employees around the world work. Collaborate with stakeholders to deliver data models to address operational needs
    Combine multiple data sources across all contact center platforms and applications to support advanced analytics products
    Ingest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data stores
    Support the Senior Data Engineer in defining data quality metrics and processes to monitor data in production environment
    Assist MIS & Data Analytics team with infrastructure development
    Develop ETL/ELT for analytics solutions using Python, Spark, SQL and Power BI
    Produce ad hoc analyses, deep-dives, and drill downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
    Support the Senior Data Engineer in preparing reports and presentations to communicate findings to stakeholders
    years of data engineering experience working with cross-functional data teams
    years using python or other programming languages , package management, dependencies, and deployment
    years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
    years of experience with data modelling, data warehousing and database design
    years' experience designing and building ETL/ELT, data pipelines, or data engineering solutions
    Strong Experience with Linux tools and shell scripting
    Experience and understanding of various ML techniques including NLP
    Hands-on experience with Big Data ecosystem tools (e.g. Understanding of Agile and Scrum methodologies and experience working in a Scrum environment (Jira and Confluence)
    French and / or Spanish fluency an asset
    Contact center experience an asset
    Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset
    Strong technical navigation skills to determine data sources, interpret technical documentation, and communicate requests and project requirements to IT partners
    Strong collaboration skills with ability to translate technical knowledge into business value
    Effective communication skills with ability to prepare project documentation and presentation for both technical and non-technical audiences

    Excellent written, presentation, and verbal communication skills to be able to work well with technical peers and business stakeholders at different levels within the organization.

    Strong decision making, forward thinking and creative problem-solving skills to anticipate and respond quickly to technological/market influences.
    University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience.

    The best candidate will have solid experience with Python, data modeling and pipeline designing, implementation, SQL, Query skills, Linux shell script skills and cloud experience machine learning and advanced data analysis skills.

    1 round – Technical interview - MS Teams Video Interview – 1 hour – with HM and another team member
    ~ 2nd round Director and HM MS Teams Video Interview – 30 mins – Attitude and behavioral questions and previous experience
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