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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 8+ years exp

First seen by Alion on Jul 24, 2026.

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Orcapod Consulting Services provides talent supply chain solutions and recruits technology professionals for client companies in India. Its postings include product owners, SAP AI engineers, data architects and IT infrastructure project leads in Bengaluru, Pune, Chennai and Hyderabad. The company is based in Thane, near Mumbai, India.

Job Title : Senior GCP Data Engineer Conversational AI & GenAI

Location : Bengaluru

Experience : 8+ Years Overall (Minimum 3+ Years in GCP Data Engineering)

Notice Period : Immediate to 30 Days

Job Description :

We are looking for a highly skilled Senior GCP Data Engineer with expertise in Google Cloud Platform, Conversational AI, and Generative AI to design, build, and deliver scalable cloud-native data and AI solutions. The ideal candidate should have hands-on experience in real-time data processing, Google Cloud services, Gemini Enterprise, and Contact Center AI technologies.

Key Responsibilities :

- Design, develop, and optimize real-time data pipelines using Pub/Sub, Dataflow, and Cloud Functions.

- Build and manage scalable data platforms using BigQuery, BigTable, and Firestore.

- Integrate Gemini Enterprise Agents with RAG (Retrieval-Augmented Generation) and enterprise knowledge bases.

- Develop and support Google CCAI/CCAIP and Dialogflow CX solutions.

- Build Infrastructure as Code (IaC) using Terraform.

- Configure and manage secure GCP IAM policies and access controls.

- Design scalable cloud architectures and mentor junior engineers.

- Collaborate with cross-functional teams and business stakeholders.

- Implement PII masking and data redaction workflows to ensure compliance and data privacy.

Mandatory Skills :

- Active Google Professional Data Engineer Certification (Mandatory)

- 8+ years of overall IT experience

- Minimum 3+ years of hands-on GCP Data Engineering experience

- Strong experience with :

1. BigQuery

2. BigTable

3. Firestore

4. Pub/Sub

5. Dataflow

6. Cloud Functions

- Experience with Gemini Enterprise, LLM Orchestration, and RAG

- Experience implementing Google CCAI/CCAIP and Dialogflow CX

- Terraform

- GCP IAM

- Programming in Python, Java, or Go

Good to Have :

- Apigee

- REST APIs

- Webhooks

- SIP/SIPREC

- Telecom domain experience

- Contact Center platform experience

Preferred Candidate Profile :

- Strong cloud architecture and design experience

- Hands-on implementation expertise

- Excellent problem-solving and communication skills

- Experience leading technical discussions and mentoring teams

Skills

Data Engineering, Google Cloud Platform, Conversational AI, Generative AI, Native Cloud, Artificial Intelligence, RAG, LLM, Contact Center Analytics, Data Pipeline, BigQuery

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