Data Systems Architect
hace 1 día
Company Overview: Scotiabank, a leading international banking institution, seeks an experienced Data Engineer to join its development team.
Estimated Salary: $100,000 - $140,000 per year.
Job Description:
**Contribute to Critical Data Assets**: As a Data Engineer at Scotiabank, you will play a vital role in architecting, designing, and implementing data pipelines and databases that support business intelligence and advanced analytics applications. Your expertise will ensure the efficient creation of critical data assets that drive informed decision-making across the organization.
**Collaborate with Agile Teams**: You will work closely with analytics and business teams to develop and refine data models that feed business intelligence tools, increasing data accessibility and fostering a culture of data-driven decision making. This involves collaborating with cross-functional teams to build, deploy, and maintain scalable data architectures that meet business needs.
**Technical Expertise**: The ideal candidate will possess strong proficiency in SQL, Python, and Spark, with experience working in big data and cloud technologies (Hadoop, MinIO, Presto/Trino, Jupyter Hub, AirFlow). Familiarity with relational databases (Oracle, DB2, Redshift, etc.) and data structures (JSON, Hadoop, Hive) is also essential. Experience working in agile team environments and data modeling/warehousing would be significant assets.
**Responsibilities**: * Champion a customer-focused culture to deepen client relationships and leverage broader bank relationships, systems, and knowledge. * Function as a member of an agile team and help drive consistent development practices, tools usage, common components, and patterns. * Collaborate with analytics and business teams to build and improve data models that feed business intelligence tools. * Direct the identification and recommendation of appropriate solutions. * Perform hands-on design and development with PySpark/Pandas/SQL, Parquet files, Warehousing experience preferably with object storages and Airflow scheduling / orchestration. * Spend significant amounts of time writing code and testing. * Work 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 pursue 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**: 3+ years of 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. * Experience with Big Data and Cloud Technologies (Hadoop, MinIO, Presto/Trino, Jupyter Hub, AirFlow). * Experience working in Retail/Risk Banking Domain. * Experience working in an Agile team environment. * Data modelling and warehousing experience. * 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.
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