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New

Data Analytics Engineer

Scotiabank

This is a Full-time position in Fort Saskatchewan, AB posted September 22, 2022.

Press Tab to Move to Skip to Content Link Requisition ID: 161345 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose: We are a leading financial services provider in North America, Latin America, the Caribbean, Central America, and parts of Europe and Asia.

We are Canada’s MOST international bank.

We place value on creativity, curiosity, drive and the need to work collaboratively, and we’re looking for future leaders who have a passion for making an impact and, most of all, getting things done.

If this sounds like you, join our awesome team The Customer Insights, Data, and Analytics team at Scotiabank is focused on building high-value projects to enhance data-driven decisions across the bank.

Our team consists of accomplished professionals who blend expertise in computer science, data, machine learning, and UI to deliver innovative solutions that drive the business.

WHO ARE WE LOOKING FOR?

• Do you love to solve problems?

• Does the idea of creating order out of chaos excite you?

• Do you obsess over the cutting-edge tools for data processing and analytics?

• Have you built insightful data-driven applications?

If you answered yes to any of the above questions, we are looking for you KEY ACCOUNTABILITIES:
• Work with business teams across Group Treasury and Global Business Payments to understand their data-driven goals
• Deliver data insights and analytics directly to management and other key front office decision-makers
• Collaborate with data scientists to build data assets forming the foundation of AI/ML-based predictive models (ie.

Engineered feature sets)
• Work with the Data Office to extract and analyze data including applying appropriate filters and business logic to reconcile to business requirements
• Build automated data management and quality features
• Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
• Mine data assets and discover impactful stories
• Experiment & learn QUALIFICATIONS:
• Bachelor or graduate degree in Computer Science or Engineering, or related field or relevant experience
• Experience with or interest in Banking/Finance/Capital Markets is an asset, specifically Canadian retail banking or treasury data
• Advanced programming skills in Python, Scala, R, and /or Java required.

Experience with Spark is an asset
• Experience in designing, automating, and/or implementing large scale distributed systems, ETL, analytical and reporting workflows along with maintenance & support on production environments is an asset
• Comfortable working in database environments.

Experience with PostgreSQL, HDFS/Hive, MinIO is an asset
• Experience with visualization tools an asset: Power BI/Tableau
• Exposure to Kubernetes, Airflow, Jenkins is an asset
• High performance, pragmatic, detail-oriented
• Eligible to work in Canada Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas.

Guided by our purpose: “for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.

If you require technical assistance, please click here .

Candidates must apply directly online to be considered for this role.

We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.