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Manager, Data Engineering

3 months ago

Montreal Quebec GF, CA IATA Consulting Full time

Employment Type: Permanent

About the team you are joining

Reporting to the Head, Data Engineering and Operations, you will be joining a dynamic team responsible for building and running multiple cloud-based data solutions. We’re hands-on developers not afraid to take on data challenges that deliver real value to IATA. We love our tech stack but we are constantly learning and are not afraid to change the way we work.

What your day would be like
  • Build, deploy, and maintain scalable and efficient data processing pipelines using tools like AWS Glue, Lambda, Step Functions, S3, EMR as well as Snowflake. Optimize tasks for performance and cost.
  • Build, deploy, optimize, and maintain Talend Data Integration jobs. Manage the Talend platform (DI, MDM, DQ, Stewardship). TMC administration & Talend Environment Setup.
  • Integrate with analytics and BI tools like Power BI and Tableau.
  • Support data scientists and analysts in accessing and querying data using AWS Athena and Snowflake.
  • Manage data access controls using AWS Identity and Access Management (IAM), Lake Formation, and Snowflake.
  • Provision and manage AWS resources using Infrastructure as Code (IaC) tools like AWS CloudFormation or Terraform.
  • Monitor data pipelines and infrastructure using AWS CloudWatch and other monitoring tools.
  • Implement and maintain CI/CD pipelines, including automated testing, versioning, and deployment of data solutions.
  • Ensure data privacy, compliance, and security throughout the solution lifecycle.
  • Collaborate with other engineering teams to integrate data solutions into applications.
We would love to hear from you if
  • Bachelor's or master’s degree in a technical field
  • 5+ years of experience in data engineering or a similar role
  • Strong knowledge of AWS services, particularly in the context of data processing (e.g. Lambda, Step Functions, S3, Athena, Glue, Lake Formation, EMR, CloudFormation)
  • Proficiency in SQL and Python
  • Experience with mainstream data integration/ETL platforms
  • Experience with CI/CD tools and general DevOps practices
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