Job
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. About the Role As Lead Engineer, In this opportunity you will: Test Data Management, you play a crucial role in ensuring the quality and reliability of our enterprise data systems. Your expertise in testing methods, data validation, and automation are essential to bring best-in-class standards to our data products. Design test data management frameworks, apply data masking, data sub-setting, and generate synthetic data to create robust test data solutions for enterprise-wide teams. You will collaborate with Engineers, Database Architects, Data Quality Stewards to build logical data models, execute data validation, design manual and automated testing Mentor and lead the testing of key data development projects related to Data Warehouse and other systems. Lead engineering team members in implementation of test data best practices and the delivery of test data solutions. Be a thought leader investigating leading edge quality technology for test data management and systems functionality including performance testing for data pipelines. Innovate create ETL mappings, workflows, functions to move data from multiple sources into target areas. Partner across the company with analytics teams, engineering managers, architecture teams and others to design and agree on solutions that meet business requirements. Effectively communicate and liaise with other engineering groups across the organization, data consumers, and business analytic groups. Utilize your experience in the following areas: SQL for data querying, validation, and analysis Knowledge of database management systems (e.g., SQL Server, Postgresql, mySQL) Test Data Management Tools (e.g., K2View, qTest, ALM, Zephyr) Proficiency in Python for test automation and data manipulation PySpark for big data testing Test case design, execution, and defect management AWS Cloud Data practices and DevOps tooling Performance testing for data management solutions, especially for complex data flows Data Security, Privacy, and Data governance compliance principles About You 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
