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Publié il y a 5 mois

GCP Data Engineering Lead

@ Querentia Inc.

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Toronto, Ontario

Contrat
Postuler
SIGNAUX

En bref

Querentia Inc. is hiring a GCP Data Engineering Lead on a contract basis to lead pipeline architecture, QA strategy and delivery for enterprise cloud data ingestion. The role covers Netscout and Sandvine pipelines on GCP, Agile sprint leadership, and coordination of offshore Data Engineers and Observability Engineers.

Responsabilités :

  • Lead pipeline architecture for Netscout and Sandvine ingestion
  • Define QA strategy, quality gates and test templates
  • Lead Agile sprints and maintain RAID logs and status reports
  • Manage offshore Data Engineers and Observability Engineers

Résumé des exigences :

  • Advanced GCP data engineering: BigQuery, Dataflow, Pub/Sub, GCS
  • Strong Python and SQL development
  • QA frameworks with Great Expectations or dbt tests
  • Medallion Architecture and Agile delivery leadership

Outils et compétences

BigQueryDataflowApache BeamPub/SubGCSGreat Expectationsdbt
Source et dates

Type de source non vérifié · jsonld

Date publiée par l’employeur
2026-05-27
Première détection par notre source
2026-10-26
Mise à jour du dossier source
2026-11-02

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauChef d’équipe
DomaineDéveloppement logiciel
Gestion d’équipeOui
Milieu de travailBureau, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy331
Description

Job Summary

We are seeking a highly experienced GCP Data Engineering Lead to provide senior technical leadership and delivery management for enterprise-scale cloud data engineering initiatives. The ideal candidate will combine deep hands-on expertise in Google Cloud Platform data pipeline architecture with strong Agile delivery and quality assurance leadership.

This role will be responsible for leading end-to-end pipeline architecture, QA strategy, sprint execution, technical governance, and offshore team coordination across high-volume data ingestion and analytics environments.

Key Responsibilities

Technical Leadership & Architecture

• Lead pipeline architecture design for Netscout and Sandvine ingestion pipelines.

• Design scalable data ingestion and transformation workflows using:

• GCS landing zones

• Google Cloud Dataflow

• Google BigQuery

• Bronze/Silver/Gold Medallion architecture layers

• Define Medallion Architecture data flow standards and transition rules.

• Lead data reconciliation and parity validation strategies across enterprise data platforms.

• Provide hands-on support for complex transformation logic and pipeline optimization.

QA & Data Quality Management

• Define and own end-to-end QA strategy for data pipelines including:

• Test coverage

• Quality gates

• Defect management

• Governance validation

• Architect reusable test templates for batch and streaming pipelines.

• Define data quality specifications for each Medallion layer.

• Review and assure quality of all pipeline and QA deliverables.

Delivery & Team Management

• Lead Agile sprint planning, sprint reviews, and retrospectives.

• Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) and drive mitigation activities.

• Produce weekly delivery status reports and maintain project trackers.

• Coordinate with client engineering teams on environments, access, and technical decisions.

• Manage offshore Data Engineers and Observability Engineers including task allocation and quality oversight.

• Drive mentoring, knowledge transfer, and delivery excellence initiatives.

Required Qualifications

• Advanced experience with Google Cloud Platform data engineering services including:

• Google BigQuery

• Google Cloud Dataflow / Apache Beam

• Pub/Sub

• GCS

• Strong hands-on development expertise in Python and SQL.

• Experience designing QA frameworks for cloud data pipelines using tools such as Great Expectations or dbt tests.

• Strong understanding of Medallion Architecture and enterprise data processing patterns.

• Experience leading Agile delivery processes and technical project governance.

• Strong stakeholder communication and team leadership skills.

Preferred Qualifications

• Advanced Google Cloud Platform certifications.

• Telecom, telemetry, or high-volume streaming data experience.

• Experience with observability and data governance frameworks.

• Prior experience managing offshore delivery teams.

• Strong mentoring and knowledge transfer capabilities.

Key Skills & Competencies

• GCP Data Engineering

• BigQuery & Dataflow

• Apache Beam & Pub/Sub

• Medallion Architecture

• Data Pipeline QA & Governance

• Python & SQL Development

• Agile Delivery Management

• Data Quality & Reconciliation

• Team Leadership & Stakeholder Management

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