Data Engineer Lead
hace 5 días
Purpose
Leads and oversees the Development and Operation of critical data assets/data models serving International Banking Analytics, ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies, and procedures.
Accountabilities
- Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Functions as senior member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
- Guides data development teams through coaching sessions or mentorship to secure full understanding of Operational model and development practices.
- Follows product leader and product owner direction to ensure requirements are met and delivered accurately and in a timely manner.
- Manage developers' team to maintain a high quality for data pipelines and data models via the establishment of good habits and practices.
- Observe standardized development practices across the entire data cycle, stablishing collaboration with data producers and data consumers. Closing resource and dedication gaps when required.
- Support the creation and review of processes and technical artifacts supporting the creation of pipeline documentation (code location, purpose, ownership, processing logic, etc.)
- Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
- Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.
Requirements:
- Required to be proficient in English
- Bachelor's degree in Computer Science or Engineering, or related field or relevant experience
- Industry experience as a project leader/manager
- 5+ years experience working as a Data Engineer Lead and/or Data architect.
- Strong proficiency in SQL , Spark and Google Cloud
- Data modelling and warehousing experience would be a plus
- Proficiency with relational databases (Oracle, DB2, MYSQL, Redshift, etc.)
Assets
- Proficient in a variety of languages including Python, Scala, Javascript
- API development experience
- Experience working with PowerBI
- Experience in microservices architectures would be a plus
- Experience working with distributed computing technologies (Spark , Kafka , Hive , Trino)
- Experience working in an Agile team environment.
- Industry experience with big data technology.
- Experience working in Retail/Risk Banking Domain is an asset
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