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Data Engineering Developer - Rabat

Company sector : IT (Information Technology)

Posted 132 days ago on ReKrute.com
  • Rabat and region - Morocco
  • Job offer expired

    COMPANY :

    Joining Cnexia is choosing to be part of an ambitious project that values Innovation, promotes Continuous Learning and enables all tech champions to fulfill their creative dreams.

    At Cnexia, we do more than support the clients of our world-class network and services. We develop innovative solutions and create original multiplatform media content. In fact, we're revolutionizing how Canadians communicate on the web, interact with Mobile Apps or benefit from an AI-enhanced experience.

    Proud of our status as a fully owned Moroccan subsidiary of the largest Canadian Telecom company, we have been ceaselessly growing our team since 2021. With over 1100 employees, mainly based in Fez, we have expanded in the northern region of the kingdom with our Brand-new state of the art site in Technopolis Rabat.

    If you are ready for this challenge, we invite you to join a community that values bold ideas and professional growth all in an engaging multi cultural world-class environment.


    Company culture :

    Cnexia Tech is driven by a culture strongly focused on performance and competitiveness, where ambition, challenge and measurable results are key drivers of success. This dynamic is complemented by a collaborative dimension, promoting trust, teamwork and close managerial support. It also integrates an innovation component that encourages initiative, adaptability and experimentation in a fast-evolving technological environment. Finally, a structured organizational culture underpins the whole by ensuring process rigor, reliability and operational efficiency.

    Job :

    • 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.

    Required profile :

    • 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.

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