Data Engineer

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Requisition

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Canadian Banking Technology (CBT) supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

Scotiabank’s Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Our current applications are in support of regulatory, compliance, as well as Big Data Analytics, Cloud technologies, and Risk Reporting requirements. Canadian Banking Technology supports the end-to-end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans.

Joining our team gives you access to great opportunities with a wide range of traditional and emerging technologies while delivering innovative solutions for our business applications and platforms.

• Contributes to the overall success of the Data Engineering and Data Services in Canada
• Ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.
• Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

• Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Actively pursues effective and efficient operations of his/her respective areas in accordance with organization values and Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, and AML/ATF/sanctions.
• Champions a high-performance environment and contributes to an inclusive work environment.
• Participate in data engineering and transformation architecture, design and delivery to ensure highly scalable, extensible, and performing solutions.
• Contribute to translating architecture or design into both logical and physical data models that comply with existing (and evolving) standards and practices.
• Contribute to data and project design and delivery for some of highly visible and critical projects across the Bank.
• Hands‑on development supporting Data integration, Analytics and Cloud environments.
• Supporting less senior team members in delivery of solutions like code review, design review, troubleshooting and such.
• Contribute to data ingestion, transformation, and extraction solutions in Enterprise Big Data platform (EDL).
• Work closely with Data Architecture (DA) and Quality Assurance (QA) teams.
• Understand the risk culture and how it should be considered in day-to-day activities and decisions.

• At least 6 years of industry experience in software development using agile methods (Scrum, Kanban, etc.)
• Excellent understanding of database and data management concepts and technologies including relational database and Big Data / Data Lake
• At least 3 years of experience in working with Big Data including Apache Hadoop, Hive, HDFS
• 3+ years of hands‑on experience working with Talend or similar ETL (Extract‑Transform‑Load) tools
• 5+ years of hands‑on experience with Java and/or Python, Spark/Scala
• 3+ years of hands‑on experience with Unix/Linux Command Line Interface (CLI) and shell scripting
• 3+ years of hands‑on experience with cloud technology, like Google Cloud (GCP), Google Storage, Big Query, Airflow, Cloud Composer, Cloud Logging, Cloud Build
• Understand containerization technologies like Docker, Kubernetes, etc.
• Working experience with Bit Bucket / Git Hub, JIRA, Confluence, Dev Ops, CI/CD pipelines, and code promotion
• Strong…