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hace 2 semanas
Estamos comprometidos a invertir en nuestros colaboradores y ayudarles a continuar su carrera profesional en ScotiaTech.
**Purpose**
**Accountabilities**
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Functions as member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
- Collaborates with analytics and business teams to build and improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
- Direct the identification and recommendation of appropriate solutions.
- Performs hands-on design and development with PySpark/Pandas/SQL, Parquet files, Warehousing experience preferably with object storages and Airflow scheduling / orchestration
- Spends significant amount of time writing code and testing.
- Works with the team to optimize code execution.
- Skilled with dimensional modeling and devops processes
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Actively 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.
- Champions a high-performance environment and contributes to an inclusive work environment.
**Education/Experience**
- 2-5+ years experience working as a Data Engineer or Technical Business Analyst.
- Bachelor’s degree in computer science, engineering, or related field or relevant experience.
- Strong proficiency in SQL, Python and Spark
**Assets**
- Experience with Big Data and Cloud Technologies ( Hadoop, MinIO,Presto/Trino, Juipter Hub, AirFlow)
- API development experience
- Experience working in Retail/Risk Banking Domain is an asset
- Experience working in an Agile team environment
- Data modelling and warehousing experience would be a plus
- Proficiency with relational databases (Oracle, DB2, Redshift, etc.)
- Proficiency with JSON, Hadoop and Hive data structure
**Working Conditions**
- Work in a standard office-based environment; non-standard hours are a common occurrence.
