Lead Engineer, Test Data Management at Thomson Reuters
Toronto, ON M5H 3H1, Canada -
Full Time


Start Date

Immediate

Expiry Date

06 Jul, 25

Salary

0.0

Posted On

07 Apr, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Do you want to help one of the most respected companies in the world reinvent its approach to data? At Thomson Reuters, we are recruiting a team of motivated data professionals to transform how we manage and leverage our commercial data assets. It is a unique opportunity to join a diverse and global team with centers of excellence in Toronto, London, and Bangalore.
Are you excited about working at the forefront of the data driven revolution that will change the way a company works? Thomson Reuters Data and Analytics team is seeking an experienced Lead Engineer, Test Data Management with a passion for engineering quality assurance solutions for cloud-based data warehouse systems.

Responsibilities

YOU’RE A FIT FOR THE ROLE OF LEAD ENGINEER, IF YOUR JOB ROLE INCLUDES:

  • 10+ years of experience as a Tester, Developer or Data Analyst with experience in establishing end-to-end test strategies, planning for data validation, transformation, and analytics
  • Advanced SQL Knowledge
  • Designing and executing test procedures and documenting best practices
  • Experience planning and executing regression testing, data validation, and quality assurance
  • Advanced command of data warehouse creation, management, and performance strategies
  • Experience engineering and implementing data quality systems in the cloud Proficiency in scripting language such as Python
  • Hands on experience with data test automation applications (preference for K2View)
  • Identification and remediation of data quality issues
  • Data Management tools like: K2View, Immuta, Alation, Informatica
  • Agile development
  • Business Intelligence and Data Warehousing concepts
  • Familiarity SAP, Salesforce systems
  • Intermediate understanding of Big Data technologies
  • AWS services and management, including serverless, container, queueing and monitoring services
  • Experience with creating manual or automated tests on data pipelines
  • Programming languages: Python
  • Data interchange formats: Parquet, JSON, CSV
  • Version control with GitHub
  • Cloud security and compliance, privacy, GDPR
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