Lead GGP Engineer

Toronto, ON, CA • Posted 22 hours ago • Updated 22 hours ago
Contract Corp To Corp
Contract W2
6 Months
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Lead GGP Engineer

Summary

We are looking for a Lead GGP Engineer for our client in Toronto, ON
Job Title: Lead GGP Engineer
Job Location: Toronto, ON
Job Type: Contract
Job Overview:
Pay Range: $75hr - $80hr

Requirement/Must Have:

  • Advanced hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Strong expertise in BigQuery, Dataflow (Apache Beam), Pub/Sub, and Google Cloud Storage (GCS).
  • Strong Python and SQL programming skills.
  • Experience designing and implementing Medallion Architecture.
  • Experience with cloud-based data pipeline architecture and development.
  • Experience with QA frameworks for data pipelines such as Great Expectations, dbt tests, or equivalent.
  • Strong understanding of data quality, reconciliation, and governance strategies.
  • Agile delivery management experience including sprint planning and status reporting.
  • Ability to lead technical teams and manage delivery execution.

Experience:

  • Proven experience in Google Cloud Platform data engineering and cloud computing environments.
  • Experience building batch and streaming data pipelines.
  • Experience with data modeling, data architecture, and data management.
  • Experience with QA strategy design and reusable testing frameworks.
  • Experience leading offshore or distributed engineering teams.
  • Experience with telecom data or high-volume telemetry data preferred.
  • Advanced Google Cloud Platform certifications preferred.
  • Experience with mentoring and knowledge transfer initiatives preferred.

Responsibilities:

  • Lead pipeline architecture design for Netscout and Sandvine ingestion.
  • Design source extraction, GCS landing, Dataflow transformations, and BigQuery loading across Bronze, Silver, and Gold layers.
  • Design Medallion Architecture data flows and transition rules.
  • Define data quality checks and validation strategies for each Medallion layer.
  • Lead data reconciliation strategies and parity validation processes.
  • Provide hands-on support for complex transformation logic and pipeline development.
  • Define and manage end-to-end QA strategy, including test coverage, tooling, quality gates, and defect management.
  • Architect reusable and parameterized test templates for batch and streaming pipelines.
  • Review and validate pipeline and QA deliverables produced by engineering teams.
  • Lead sprint planning, sprint reviews, and retrospectives using Agile methodologies.
  • Maintain RAID logs and drive mitigation actions for risks and issues.
  • Produce weekly status reports and maintain project delivery trackers.
  • Coordinate with client Data Engineering teams regarding environments, access, and technical decisions.
  • Manage task allocation and quality assurance for offshore engineers.
  • Support knowledge transfer and mentoring activities.

Should Have:

  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work in fast-paced cloud transformation environments.
  • Strong leadership and collaboration skills.
  • Experience working with enterprise-scale cloud data platforms.

Skills:

  • Google Cloud Platform (Google Cloud Platform).
  • BigQuery.
  • Dataflow.
  • Apache Beam.
  • Pub/Sub.
  • Google Cloud Storage (GCS).
  • Python.
  • SQL.
  • Data Engineering.
  • Data Architecture.
  • Medallion Architecture.
  • Data Quality.
  • Data Reconciliation.
  • Great Expectations.
  • dbt.
  • Agile Methodology.
  • Sprint Planning.
  • RAID Management.
  • Data Modeling.
  • Cloud Computing.
  • Batch and Streaming Pipelines.
  • Telecom Data Processing.

Qualification and Education:

  • Bachelor s degree in Computer Science, Information Technology, Engineering, or related field preferred.
  • Advanced Google Cloud Platform certifications preferred.
  • Equivalent practical experience in cloud data engineering accepted.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10516350
  • Position Id: ON_LCGP_0529
  • Posted 22 hours ago
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