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Data Analytics Engineering Specialist
2 months ago
We are seeking a highly skilled Data Analytics Engineering Specialist to join our team at Scotiabank. As a key member of our Global Technology Services - Enterprise Process Management & Compliance's IT Service Management (ITSM) team, you will play a critical role in gathering, interpreting, and presenting data insights to support business strategies and objectives.
Key Responsibilities- Develop and maintain Data Engineering pipelines, Business Intelligence (BI), and analytics solutions to support ITSM business strategies and objectives.
- Conduct all activities in compliance with governing regulations, internal policies, and procedures.
- Provide technical consultation and direction to team members on Data Engineering and analytics solutions.
- Collaborate with stakeholders to identify business requirements and develop solutions to meet those needs.
- Design, develop, and implement data-driven solutions using various technologies, including Python, R, VBA, and Object-Oriented programming/scripting languages.
- Work closely with the Senior Manager, Analytics Technology & Engineering to ensure goals, plans, and initiatives are executed and delivered in support of the team's business strategies and objectives.
- At least 5+ years of hands-on technical working experience in the development and maintenance of data-driven solutions, including conceptual and logical Data Modelling, Database Design, BI, ETL, and Data Visualization.
- At least 3+ years of hands-on technical working experience as a Senior Data Engineer and/or Database Designer and/or Data Architect that involves performance tuning of both online queries and data-driven ETL processes.
- At least 3+ years of hands-on technical working experience in writing requirements, architecture documents, or other governance documents associated with application management.
- At least 2+ years of hands-on technical working experience in the proficient creation of meaningful reports on MS Excel and/or MS PowerBI and/or MS Data Analysis Expressions (DAX) and/or MS Power Query.
- Strong hands-on technical working experience with most of the following: Python, R, VBA, or any Object-Oriented programming/scripting languages.
- At least 2+ years of hands-on technical working experience with Agile methodologies and tools: Atlassian's Bitbucket/Git, Jira Confluence, etc...
- At least 1+ years of hands-on technical experience with predictive analysis and Machine Learning.
- Ability to troubleshoot BI modelling issues and develop solutions.
- Ability to lead through the Software Development Life Cycle (SDLC).
- Post-secondary education in Computer Science, Engineering, or in a technology-related discipline.
- A competitive total rewards package, including a performance bonus, company matching programs (pension & Employee Share Ownership), generous vacation, health/medical/wellness benefits, and employee banking privileges.
- A collaborative and inclusive work environment that encourages creativity, curiosity, and celebrates success.
- Opportunities for professional growth and development in a dynamic and innovative company.
- A comprehensive benefits package, including health, dental, and vision coverage, as well as a generous retirement plan.
