Data Engineer

4 weeks ago

Toronto, Ontario, Canada Scotiabank Full time
Data Engineer Role Overview

At Scotiabank, we are seeking a highly skilled Data Engineer to join our Global Finance and Risk Technology team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines that support our business operations.

Key Responsibilities
  • Develop and maintain data pipelines for the ingestion, transformation, and distribution of large datasets.
  • Utilize services and tools to automate data workflows and streamline the data engineering process.
  • Collaborate with other stakeholders to support data analysis, data mapping, and reporting needs.
  • Monitor application performance, identifying bottlenecks, and implementing improvements to enhance efficiency.
  • Conduct data quality checks and implement measures to ensure data accuracy and integrity.
  • Stay current with emerging technologies and data engineering practices to recommend and adopt innovations that improve data systems.
  • Provide technical expertise and support for data-related issues, including troubleshooting and resolving data pipeline failures.
  • Document data engineering processes, creating data flow diagrams, and maintaining metadata for data lineage and cataloging.

Requirements
  • Experience using Streaming Architecture (Kafka) and Big Data Platform (Hadoop) is required.
  • Strong SQL knowledge is needed.
  • Experience in NiFi is desired.
  • General understanding of continuous integration/continuous deployment (CI/CD) pipelines.
  • Experience building CI/CD pipelines using GitHub, Artifactory, etc., to reduce cycle times and ensure quality.
  • Strong scripting skills (e.g., shell scripting for automation).
  • Working experience with source control systems like Git.
  • Exposure to working on cloud platforms like Azure/GCP/AWS.
  • Experience with Agile/Scrum development methodologies.
  • Team player with effective communication skills (verbal and written).
  • Able to see tasks through to completion without significant guidance.
  • Self-managed and results-oriented with a sense of ownership.
  • A university degree in Mathematics, Science, Engineering, Management, or a relevant field.

What We Offer
  • An inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success.
  • The tools and technology needed to create beautiful customer experiences.
  • The opportunity to work with and learn from diverse industry leaders.
  • A competitive total rewards package, including a base salary, performance bonus, company matching programs, generous vacation, personal, and sick days, personal development funding, maternity leave top-up, parental leave, and more.

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