Manager, Analytics Engineer - CCA Analytics Engineering

 

 

 

Requisition ID: 226568

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

 

The Role      The Analytics Engineer is responsible for analytics engineering projects across the geographies of the Caribbean, Central and South America. Serves as the strategic bridge between BI and IT&S to deliver solutions that drive business value.       Do you have the skills that will enable you to succeed? - We'd love to work with you if you have:    

• Responsible for delivering analytics engineering projects that advance the Analytics data roadmap for the Caribbean region. 
• Implement services and components to enable enterprise-wide use of data
• Participate in design discussions with stakeholders focused on scalability, design and implementation best practices
• Automates analytics solutions including predictive model scoring and business intelligence reporting
• Work closely with IT&S, Data office, software/data engineers and DevOps to build analytical capabilities that drive real business outcomes 
• Support and maintain a successful product
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

  Dimensions  

• Supporting Caribbean, Central America and Uruguay
• Bilingual English/Spanish is an asset

    Do you have the skills & experience that will enable you to succeed in this role?     

• Bachelor’s or Master’s degree in computer science with a sound industry experience (3+ years) in various roles.
• A minimum of 3 years’ experience with hands-on development
• 3+ years’ experience deploying data engineering solutions in a production setting
• 3+ years’ experience with relational database (Sql Server), Python, R or Scala. (Production level coding)
• Experience with scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, HBase, Spark, Storm, ELK, etc.
• Experience of designing scalable solutions with proficiency in use of data structures and algorithms
• Experience in cloud-based environment such as GCP with PaaS & IaaS
• Experience of working with agile methodologies in a team with continuous collaboration 
• MySQL, SQL, Stored Procedures       
• HDFS, MapReduce, YARN, Pig, Hive, HBase, Zookeeper, Oozie
• Python, Scala, Java
• Strong ETL Experience
• Spark, Spark Streaming
• Data Modeling (Basic Level) experience
• Data Standardization/Canonical Data Format definition
• Data Integration Patterns
• Data Quality/Lineage Solutions
• Performance Benchmarking and Tuning
• Data Conversion and Migration between different databases
• PowerBI

    Working Conditions   Work in a standard office-based environment; non-standard hours are a common occurrence.    

 

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.