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About the role
About Our Client: Our client is on a mission to modernize global connectivity, one connection at a time. It aims to build the highway to the future of communications, media and entertainment, determined to emerge as a powerhouse within the technology landscape in India team in Bengaluru. It brings ambitions to life through design thinking that bridges the gaps between people, devices and beyond, fostering unprecedented customer satisfaction through technology. The core values support a customer-centric approach and the harnessing of cutting-edge technology to provide business outcomes with positive societal impact. Guided by innovation and a commitment to progress, they are shaping a brighter future for the generations of today and tomorrow. If you would like to be a part of a team of thought-leaders pioneering advancements in 5G, MEC, IoT and cloud-native architecture, then apply! Requirements Role: Senior GCP Data Engineer Conversational AI & GenAI Experience :8+ Years Overall | 3+ Years in GCP Data Engineering Role Overview We are looking for a hands-on Senior GCP Data Engineer to design and deliver scalable data, AI, and Conversational AI solutions on Google Cloud. The ideal candidate will have strong expertise in real-time streaming, Gemini Enterprise, CCAI, and modern data platforms. Key Responsibilities - Build and optimize real-time data pipelines using Pub/Sub, Dataflow, and Cloud Functions. - Design and manage data platforms leveraging BigQuery, BigTable, and Firestore. - Integrate Gemini Enterprise Agents using RAG and enterprise knowledge bases. - Deploy and support Google CCAI/CCAIP and Dialogflow CX solutions. - Develop infrastructure using Terraform and implement secure GCP IAM controls. - Design scalable architectures, mentor team members, and engage with stakeholders. - Implement PII masking/redaction workflows to ensure compliance and data privacy. Required Skills - Active Google Professional Data Engineer Certification (Mandatory). - 3+ years of hands-on experience with BigQuery, BigTable, Firestore, Pub/Sub, Dataflow, and Cloud Functions. - Experience with Gemini Enterprise, LLM orchestration, and RAG. - Experience implementing CCAI/CCAIP and Dialogflow CX solutions. - Strong expertise in Terraform and GCP IAM. - Proficiency in Python, Java, or Go. Nice to Have - Experience with Apigee, REST APIs, Webhooks, SIP/SIPREC. - Knowledge of telecom or contact center platforms. What We're Looking For A technically strong, hands-on engineer who can lead architecture discussions, mentor teams, and deliver secure, scalable cloud and AI solutions. Benefits What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options. Professional development and training opportunities. A supportive and inclusive work workplace About Our Client: Our client is on a mission to modernize global connectivity, one connection at a time. It aims to build the highway to the future of communications, media and entertainment, determined to emerge as a powerhouse within the technology landscape in India team in Bengaluru. It brings ambitions to life through design thinking that bridges the gaps between people, devices and beyond, fostering unprecedented customer satisfaction through technology. The core values support a customer-centric approach and the harnessing of cutting-edge technology to provide business outcomes with positive societal impact. Guided by innovation and a commitment to progress, they are shaping a brighter future for the generations of today and tomorrow. If you would like to be a part of a team of thought-leaders pioneering advancements in 5G, MEC, IoT and cloud-native architecture, then apply! Requirements Role: Senior GCP Data Engineer Conversational AI & GenAI Experience :8+ Years Overall | 3+ Years in GCP Data Engineering Role Overview We are looking for a hands-on Senior GCP Data Engineer to design and deliver scalable data, AI, and Conversational AI solutions on Google Cloud. The ideal candidate will have strong expertise in real-time streaming, Gemini Enterprise, CCAI, and modern data platforms. Key Responsibilities - Build and optimize real-time data pipelines using Pub/Sub, Dataflow, and Cloud Functions. - Design and manage data platforms leveraging BigQuery, BigTable, and Firestore. - Integrate Gemini Enterprise Agents using RAG and enterprise knowledge bases. - Deploy and support Google CCAI/CCAIP and Dialogflow CX solutions. - Develop infrastructure using Terraform and implement secure GCP IAM controls. - Design scalable architectures, mentor team members, and engage with stakeholders. - Implement PII masking/redaction workflows to ensure compliance and data privacy. Required Skills - Active Google Professional Data Engineer Certification (Mandatory). - 3+ years of hands-on experience with BigQuery, BigTable, Firestore, Pub/Sub, Dataflow, and Cloud Funct
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