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Specialist, Data Analytics Engineering - Business Intelligence Data Analytics (Hybrid) [Scotiabank]

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Scotiabank

12d ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Toronto

AI generated summary

  • You should have 5+ years in data solutions, 3+ years as a Data Engineer/Architect, strong skills in BI tools, Python, Agile, and experience with predictive analysis and documentation.
  • You will develop and maintain data engineering pipelines, BI, and analytics solutions, provide technical consultation, and ensure compliance while managing deliverables, including ETL and dashboards.

Requirements

  • You have a passion for data, technology, and Agile development.
  • You are eager to create processes and documentation to support stable and resilient solutions.
  • You can work independently and drive solutions from the ideation phase to implementation.
  • You like the challenge to pick up new technologies quickly and have good insight into tools used within the industry.
  • You embrace the opportunity to help a team mature on their data analytics engineering journey.
  • You are curious and have a business mindset when developing technology solutions.
  • You have a strong analytical skillset & thrive to quickly determine, identify root cause, and fix issues.
  • You can demonstrate above average communication (verbal/written) skills, which includes the ability to synthesize complex ideas from various sources.
  • You have at least 5+ years of hands-on technical working experience in the development and maintenance of data driven solutions, including conceptual & logical Data Modelling, Database Design, BI, ETL, and Data Visualization.
  • You have 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 & data driven ETL processes.
  • You have at least 3+ years of hands-on technical working experience in writing requirements, architecture documents, or other governance documents associated with application management.
  • You have 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.
  • You can demonstrate a strong hands-on technical working experience with most of the following: Python, R, VBA, or any Object-Oriented programming / scripting languages.
  • You have at least 2+ years of hands-on technical working experience with Agile methodologies and tools: Atlassian's Bitbucket/Git, Jira Confluence, etc…
  • You have at least 1+ years of hands-on technical experience with predictive analysis & Machine Learning.
  • You can troubleshoot BI modelling issues and develop solutions.
  • You can demonstrate the ability to lead through the Software Development Life Cycle (SDLC).
  • The following skills would be an asset to your success in the role: Exposure to Large Language Models (LLM), Google Cloud Platform (GCP), or other cloud technologies.
  • You have completed a post secondary education in Computer Science, Engineering, or in a technology related discipline.

Responsibilities

  • - Develop & maintain Data Engineering pipelines, Business Intelligence (BI), and analytics solutions.
  • - Complete engineering & architecture deliverables and provide technical consultation + direction to team members.
  • - The scope of solutions includes Windows / Web-based applications, complex workflows, automation scripts, Extraction, Transform & Load (ETL) solutions, Executive Dashboards, and much more.
  • - Provide use cases and requirements to feeder-systems so that they may capture data for use by the ITSM team.
  • - Conduct all activities in compliance with governing regulations, internal policies, and procedures.
  • - Work into the evenings and/or weekends to complete deliverables when required.

FAQs

What is the job title for this position?

The job title is Specialist, Data Analytics Engineering - Business Intelligence Data Analytics.

What is the location of this job?

The job is located in Toronto, Ontario, Canada.

What team will I be working with?

You will be working with Scotiabank's Global Technology Services - Enterprise Process Management & Compliance's IT Service Management's Governance, Data Analytics & Reporting team.

Who will I report to in this role?

You will report to the Senior Manager, Analytics Technology & Engineering.

What are the main responsibilities of this position?

Main responsibilities include developing and maintaining Data Engineering pipelines, BI and analytics solutions, completing engineering and architecture deliverables, and providing technical consultation to team members.

Are there specific technology skills required for this role?

Yes, the role requires skills in Python, R, VBA or other Object-Oriented programming languages, as well as experience with BI tools like MS Excel, MS PowerBI, and ETL processes.

How many years of experience is required for this position?

At least 5+ years of hands-on technical working experience in the development and maintenance of data-driven solutions is required.

Will I need to work outside regular hours occasionally?

Yes, you might be required to work into the evenings and/or weekends to complete deliverables.

What is the work model for this position?

The work model is hybrid, allowing for a mix of onsite and remote work.

Is there support for professional development offered by Scotiabank?

Yes, Scotiabank provides an environment that encourages continuous learning and innovation.

Does Scotiabank offer any wellness benefits?

Yes, Scotiabank offers health, medical, and wellness benefits as part of their competitive total rewards package.

Is there an accommodation process for candidates with disabilities?

Yes, Scotiabank is committed to creating an inclusive and accessible environment and accommodates candidates requiring assistance during the recruitment process.

What types of projects will I be involved in?

You will work on developing Windows/Web-based applications, complex workflows, automation scripts, ETL solutions, and Executive Dashboards.

Are there opportunities to work with emerging technologies?

Yes, exposure to technologies such as Large Language Models (LLM) and cloud technologies like Google Cloud Platform (GCP) is considered an asset for this role.

Scotiabank

Finance
Industry
10,001+
Employees

Mission & Purpose

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