Cnexia tech
OffresRabatData Engineering Developer

Data Engineering Developer

Cnexia tech- Informatique / Electronique- Telecom
RabatTeletravailCDIConfirmé (5 à 10 ans) d'experienceBac +5 et plus Minimum

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Description du poste

  • Pipeline Orchestration, Data Ingestion Build, monitor, and optimize near real-time streaming pipelines routing CCAIP voice and chat sessions into Google BigQuery.
  • Gemini Grounding Generative AI Integrate Gemini Enterprise for Customer Experience with enterprise knowledge bases to ensure accurate, context-aware agent interactions.
  • Database Management State & Storage Maintain low-latency Firestore and BigTable configurations to securely store active chat session states and metadata.
  • Architectural Design System Engineering Design resilient, high-performance system architectures, presenting technical diagrams and project blueprints to management.
  • Mentorship & Delegation Team Leadership Distribute engineering tasks efficiently among team members and lead the technical development and training of subordinates.
  • Testing & Debugging Quality Assurance Create sandboxed products for system testing, actively searching for pipeline errors and applying post-launch hotfixes.
  • Client & PM Alignment Stakeholder Management Accept requirements from management, negotiate scope changes with clients, and demonstrate final project updates.
  • Compliance Governance Data Protection Oversee automated PII redaction workflows on voice and text streams to ensure complete privacy alignment before data storage.

Profil recherche

  • University or college degree in engineering, computer sciences, physics, mathematics or relevant experience in an equivalent domain
  • Excellent communication skills in English
  • Minimum of 5+ years’ in similar role
  • Must hold an active Google Professional Data Engineer certification. Deep expertise in BigQuery, BigTable, and Firestore (Standard & Enterprise) is non-negotiable.
  • Proven experience architecting and managing high-throughput streaming pipelines using GCP Pub/Sub, Cloud Functions, and Dataflow.
  • Practical experience with LLM orchestration, grounding Gemini Enterprise Agents on enterprise data lakes, and Retrieval-Augmented Generation (RAG).
  • Hands-on deployment experience with Google Cloud Contact Center AI (CCAI/CCAIP) and Dialogflow CX for live voice/chat streams.
  • Robust capability writing Terraform for infrastructure deployment and managing fine-grained GCP IAM roles to secure cloud resources.

Traits de personnalite souhaites

Recherche de nouveautéBesoin de réflexionBesoin d'autonomieImplication au travailAmbition