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Senior Cloud Data Engineer to manage, configure, and administer Google Cloud Platform and support data migration initiatives

Montréal, QC
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Date d'entrée en fonction : 1 poste à combler dès que possible

Our client is looking for a Senior Cloud Data Engineer to manage, configure, and administer Google Cloud Platform and support data migration initiatives.


This is a fully-remote position, with work to be conducted during Easter Time Zone hours


Tasks include:

  • Provide hands-on management, configuration, and administration of newly implemented Google Cloud Platform
  • As needed, provide guidance and hands-on support with data migration, data pipelines (moving or re-pointing), dashboards, etc.
  • Plan and execute the migration of data including mapping schemas, optimizing data structures, and ensuring data integrity and security throughout the transition.
  • Develop and implement strategies for data ingestion, integration, transformation, and storage
  • Collaborate with key stakeholders across IT, data science, and business teams to gather requirements and ensure the new platform meets all needs.
  • Establish best practices for data governance, security, and compliance, ensuring adherence to relevant regulatory requirements.
  • Design and implement monitoring and alerting for the new data platform to ensure optimal performance and reliability.
  • Work with engineering teams to ensure scalability, performance optimization, and cost-efficiency in the cloud environment.
  • Provide technical leadership and mentoring to internal teams throughout the migration and beyond.
  • Stay up to date with industry trends and best practices in data architecture, cloud computing, and big data solutions


Must have:

  • Background check must be conducted
  • Relevant certification(s) in Google Cloud Platform
  • 3+years' experience with cloud data platforms
  • Experience with Google Cloud Dataflow and BigQuery


Nice to have:

  • Familiarity with CI/CD pipelines and DevOps practices in data engineering environments
  • Experience with PII (Personally Identifiable Information) data security best practices
  • Experience with other Google data tools (eg: AlloyDB, Datastream, DMS, etc.)
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