Position: Data Engineering Associate

Purpose

• Contributes to the overall success of the Payments and Core Banking 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.
• Responsible for developing Integration and abstraction layer for GBP data models, the candidate must have understanding of frameworks such as Spark and Cloud Platforms.
• The applicant must demonstrate leadership abilities, adapt to multiple challenges, with a track record on delivering quality solutions.
• The candidate will implement code using Spark (Scala/Python) to manipulate store data from sources into Cloud Platforms.

Accountabilities

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Champions a high-performance environment and contributes to an inclusive work environment.
• Participate in the implementation of data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.
• Contribute to the delivery of data ingestion, transformation and extraction solutions in Enterprise big data platform (EDL, Cloud platforms)
• Hands-on development supporting Data integration, Analytics and Cloud environments.
• Support existing data ingestion and data transformation solutions in production.
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Responsible for reviewing legacy ingestion systems and migrating them to new technologies.
• Exposure to new technologies and the ability to quickly adapt and integrate them into existing systems.

Actively pursues effective and efficient operations of their 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.

Professional and Soft Skills

• Self learner and problem solver with a commitment to delivery quality of work
• Good technical and interpersonal communication skills
• Knowledge on IT frameworks such as Agile and ITIL is preferred
• Experience in financial institutions and payment systems is highly desirable.
• Understanding of Data Lineage concepts.
• Hands on experience in following the iterative and agile SDLC.
• Experience in end to end code delivery i.e. requirements gathering, code development, unit testing, deployment.

Position: Data Engineering Associate

Primary Manager:

(include secondary Manager if applicable)

· Senior Manager Data Engineering

• Technical and Delivery Lead

Direct Reports:

Shared Reports (solid/dotted if applicable):

· N/A

• At least 1 year of familiarity in working with Big data
• 1+ years of hands-on experience with Spark and Python
• 1+ years of software development (SDLC)
• Experience in Agile Scrum/Kanban methodology is an asset
• Production support experience is an asset
• Working experience with DevOps and running Jenkins pipelines (nice to have)
• Strong communication and presentation skills
• Basic RDBMS skills and experience (Oracle OR SQL Server)
• Hands-on experience with Unix/Linux Command Line Interface (CLI)
• Experience with code repository, version control and code promotion tools such as Git/bitbucket