Data Development Lead
Scotiabank is an international bank offering personal, business and commercial banking, wealth management, private banking, corporate and investment banking, and capital markets services. Its clients include individuals, businesses, corporations, institutions and investors across Canada, the United States, Mexico, Latin America, Europe and Asia Pacific.
About Scotiabank
Scotiabank, also known as The Bank of Nova Scotia, provides a broad range of financial products and services, including deposit accounts, credit cards, lending, mortgages, insurance, investments, wealth management, private banking, corporate and investment banking, capital markets, foreign exchange, financing, advisory services and transaction banking. The organization serves personal banking customers, small and mid-sized businesses, commercial clients, corporate and institutional clients, and investors through its global network.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the development and operation of critical data assets and models, guide data development teams, establish development practices, manage data pipelines and models, coordinate with data producers and consumers, and support technical documentation and operational processes.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field, or relevant experience
- Experience as a project leader or manager
- 5+ years of experience as a data engineer or architect
- Proficiency in SQL, Spark, and Google Cloud
- Data modeling and warehousing experience
- Proficiency with relational databases
- Proficiency in English
- Experience with Python, Scala, or JavaScript
- API development experience
- Experience with PowerBI
- Experience with microservices architectures
- Experience with distributed computing technologies
- Experience working in an Agile team environment
- Experience with big data technology
Responsibilities
- Lead development and operation of critical data assets and models
- Drive consistent development practices, tool usage, components, and patterns
- Coach and mentor data development teams
- Ensure requirements are delivered accurately and on time
- Manage developers maintaining data pipelines and data models
- Establish standardized development practices across the data cycle
- Collaborate with data producers and data consumers
- Close resource and dedication gaps
- Support the creation and review of pipeline documentation
- Manage and develop the data development team
- Foster an inclusive and high-performance environment
Benefits
- Competitive benefits