Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers Is this role right for you? In this role you will: Responsible for creating automated test scripts, conducting software testing, and collaborating with software developers to identify and address defects. You will play a key role in ensuring the quality and reliability of software products. Developing and designing current software systems by reviewing, repairing, maintaining and testing systems to improve business operations. They focus on performing analysis and research to determine the weakness and strength of existing systems. Focuses on the design, implementation, and optimization of automated systems within a variety of industries. Create test cases and scripts for manual and automated testing based on project requirements. Design and develop automation scripts using appropriate tools and frameworks. Review and verify test cases and scripts for quality standards. Guide a team of QA specialist and work hands on in developing framework and mapping specs using best practices that will meet the demanding performance requirements Use their advanced technical knowledge to support their claims and answer clients' questions about the proposed changes.



Provide end-to-end business/technical guidance and expertise on data integrity and referential integrity across LOBs Defining Use Case Scenarios and validate the scenarios Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: 10+ years of experience in data analysis, performance optimization for large OLTP applications Knowledge of Wealth Industry - Retail/Wealth, IIROC-CRM guidelines, CRA guidelines Oral and written communication skills. Interpersonal and consultative skills. Analytical thinking and problem solving. Being detail-oriented and capable of delivering a high level of accuracy. Organizational skills. Knowledge of business structure. Stakeholder analysis. Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop. Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL) Experience working with relational/NoSQL databases Experience with data streaming and technologies such as Kafka, Spark-streaming etc. What's in it for you? Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the

📌 Lead Data Engineer (Toronto)
🏢 Scotiabank
📍 Toronto