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In order to meet the growing needs of our customers, we are constantly searching for dynamic, qualified individuals to join the CTC resource team. Currently, there are several career opportunities available at CTC. If you feel you satisfy the qualifications for one of the positions listed on this page, please send your CV to resources@ctcinc.ca identifying the position(s) you are interested in. Qualified individuals will be contacted by our human resources department.
CTC006022 : Analyste, ingénierie des données
Location : Montreal, Quebec
Field : Data Engineer
Position Type : Contract
Starting : June 18, 2021
Ending : December 18, 2021
Resources Required : 1
Position Description
  • We are looking for 2 resources.
  • Remote work 100%
  • The mandate is renewable.
  • Languages required: French, bilingual an asset

Description of the mandate

- Work with Data Owners and Data Stewards to implement the data quality controls and rules they have defined in the different environments

- Connect to the various banking systems via existing APIs, or by creating new APIs, to obtain the data to be controlled or validated

- Documentation of transformation and validation applied to data Knowledge

- Banking and Payments domain

  • Experience in financial transaction analysis
  • Knowledge of RPCFAT regulations
  • Experience with systems containing financial data (cards, transactions, payment data, etc.)

- Developer

  • DevOps tools (GIT, Maven/Gradle, Jenkins, Nexus, Atlassian Jira & Confluence, Bitbucket, GitHub)
  • Linux and infrastructure tools (Docker, Kubernetes, Terraform)
  • Micro-services and APIs (REST, Kafka, MQ or other broker), SOA, JSON
  • AWS and Openshift (Docker and Kubernetes)
  • Best practices in software engineering (BDD, TDD, SOLID, Clean Code, DevOps)
  • Hands-on experience with Kafka connectors, such as MQ connectors, Elastic Search connectors, JDBC connectors, file stream connector, JMS source connectors, Tasks, Workers, converters, Transforms

- Data engineering

  • Datahub framework experience: Raw -? Curated -? Consumption - Strong experience in developing massive data ingestion and flow scripts.
  • Experience in production and maintenance of software projects, especially in the megadata ecosystem
  • Experience in Distributed cluster-computing (Spark, Databricks, Beam...)
  • Experience with Melissa Data, or any other address formatting tool

Nice to Have

- Knowledge of AML (Anti-Money Laundering) and KYC (Know Your Customer) principles