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Sr. Data Quality Automation Engineer

EQ Bank is a digital banking platform providing financial services and technology solutions.
Data
Senior Software Engineer
Hybrid
7+ years of experience
Finance

Description For Sr. Data Quality Automation Engineer

EQ Bank is seeking a Senior Quality Engineer to join their Enterprise Technology and Data team for a 6-month contract position. This role is pivotal in ensuring the delivery of high-quality data-driven solutions and applications across enterprise systems. The position requires deep expertise in quality engineering, automated testing, and extensive experience in testing large-scale data systems, particularly in ETL processes and working with Azure Fabric.

The role involves working at the intersection of data engineering and quality assurance, focusing on ensuring data integrity and system reliability. You'll be responsible for designing and implementing comprehensive test strategies, developing automated testing frameworks, and working with cutting-edge technologies in the banking sector. The position offers an opportunity to work with modern data platforms and cloud technologies, particularly in the Azure ecosystem.

As a Senior Quality Engineer, you'll collaborate with cross-functional teams including developers, data engineers, and product managers to maintain the highest quality standards throughout the software development lifecycle. The role requires a strong background in data systems, ETL processes, and automated testing, making it ideal for someone who combines technical expertise with quality assurance best practices.

The position offers the flexibility of hybrid work arrangements in Toronto, allowing for a balance between remote and office work. This role is perfect for experienced quality engineers who are passionate about data quality, automation, and working in a dynamic fintech environment. You'll have the opportunity to make a significant impact on the quality and reliability of critical banking systems while working with modern technologies and methodologies.

Last updated 19 hours ago

Responsibilities For Sr. Data Quality Automation Engineer

  • Design test strategies/plans, test cases, and test scripts for ETL pipelines
  • Monitor and ensure data accuracy, completeness, and consistency across data platforms
  • Design and execute tests for Data pipelines running on Azure Fabric
  • Develop and execute SQL-based automated tests for database validation
  • Conduct performance testing for large-scale data systems
  • Develop and maintain automated test frameworks
  • Work with teams to identify, report, and track defects
  • Propose and implement improvements to testing processes
  • Provide guidance and mentorship to junior quality engineers
  • Ensure adherence to industry standards and best practices

Requirements For Sr. Data Quality Automation Engineer

Python
Java
  • 7+ years of experience in software quality engineering
  • 3+ years of experience in an enterprise data environment
  • Experience with automated testing tools (Pytest/DBT/ETL automation tools)
  • Hands-on experience with ETL automation tools
  • Knowledge of data management, data warehousing, and data lakes
  • Experience with event-driven data streaming platforms
  • Proficiency in SQL and scripting languages
  • Experience with Microsoft Fabric (preferred)
  • Experience with Azure Data Factory, Azure Synapse Analytics
  • Knowledge of software development methodologies
  • Familiarity with version control systems and CI/CD tools

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