Senior Cloud Data Engineer to manage, configure, and administer Google Cloud Platform and support data migration initiatives
S.i. Systems
Montreal, QC-
Number of positions available : 1
- Salary To be discussed
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Contract job
- Published on May 9th, 2025
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Starting date : 1 position to fill as soon as possible
Description
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.)
Requirements
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