Data Engineering Developer

Data Engineering Developer

Job Overview

Location
Montreal, Quebec
Job Type
Full Time Job
Job ID
97689
Date Posted
1 year ago
Recruiter
Raymond Catherine
Job Views
184

Job Description

This position reports to the Manager, Cross-Sectional Data, Cybercrimes. Working with data in the Cross-Sectional Data team means:

  • Providing expert advice on data engineering by working with all of the Bank's business lines and certain subsidiaries to centralize and analyze data related to:
    • Money laundering
    • Screening
    • Fraud
  • Applying rigorous analysis methods and controls to large databases to understand trends and identify anomalies
  • Interacting with other data engineers and various internal partners
  • Having the opportunity to work on new data analysis trends within the industry.

Specifically, you will:

  • Serve as a data engineering expert to influence business lines in the organization and the presentation of fraud or money laundering-related data
  • Take charge of complex initiatives or unusual situations that require creativity and excellent knowledge of different aspects of data engineering and data pipeline development
  • Design, automate, and implement real-time data integration solutions that meet the sector’s needs, in accordance with the Bank’s best practices
  • Build resilient systems that enable data to be recovered easily when there are data quality issues
  • Determine the cause of data quality errors and make recommendations for long-term solutions
  • Develop improvements to technology solutions for overall data quality enhancement
  • Develop rules and processes to control the integrity (accuracy, rigour, process compliance) of all data in data warehouses
  • Recommend enhancements to processes and suggest alternatives for continuous improvement of existing workflows
  • Provide expert advice to Cross-Sectional Data management on implementing activities related to the sector’s strategic orientations
  • Monitor best practices and tools available in the data engineering field

Target profile:

  • Completed bachelor’s degree and 7 years of relevant experience OR completed master’s degree and 5 years of relevant experience
  • Solid experience in data integration and profiling
  • Experience in database modelling (e.g., 3NF, dimensional, Data Vault), an asset
  • Knowledge of Python and SQL languages
  • Strong knowledge of Kafka, Kafka Streaming et Kafka Queue/Kafka Topic
  • Experience with the implementation and use of AWS Glue, Lake Formation
  • Mastery of the DevOps concept (Jenkins, Bitbucket, OpenShift, Docker, Kubernetes, etc.)
  • Development experience using RESTFul, Swagger, YAML, JSON, and XML tools/technologies
  • Proactiveness and attention to detail
  • Strong collaborative spirit
  • Solid time and priority management skills
  • Knowledge of the Agile approach (Scrum), an asset
  • Good communication skills and ability to influence
  • Bilingualism, both spoken and written (English and French)

Your benefits

Upon hiring, you'll be eligible for a wide range of benefits. In addition to competitive compensation, we offer attractive benefits for you and your family:

  • Health and wellness program, including many benefits
  • Flexible group insurance
  • Pension plan
  • Employee Share Ownership Plan
  • Employee and Family Assistance Program
  • Preferential banking services
  • Community involvement program
  • Telemedicine
  • Virtual sleep clinic

These are just some of the many benefits we offer. Due to the current pandemic, our entire team is working remotely. We’ve also rolled out several additional measures to ensure your health, safety, and wellbeing during the pandemic.

Job ID: 97689

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