GCP Data Engineer (6?8 Years Experience)Role Overview
We are looking for a highly skilled Data Engineer with 6?8 years of experience to design, build, and optimize scalable data pipelines and AI-driven data solutions. The ideal candidate will have hands-on expertise in Kubernetes (GKE), GCP ecosystem, RAG-based architectures, and agentic/AI pipelines, along with experience in data processing, extraction, and integration workflows.
Key Responsibilities
Design and develop scalable data pipelines for data extraction, transformation, and ingestion.
Build and manage AI/ML data pipelines, including RAG (Retrieval-Augmented Generation) and agent-based workflows.
Develop and orchestrate data extraction and injection pipelines across structured and unstructured data sources.
Deploy and manage application jobs on Kubernetes (GKE) for high availability and performance.
Integrate with GCP services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, and Apigee.
Work with SDP (Sensitive Data Protection/DLP) and Model Armor for secure data handling and compliance.




Collaborate with cross-functional teams to ensure data governance, security, and privacy compliance.
Build and maintain CI/CD pipelines using GitHub and related DevOps tools.
Optimize performance, scalability, and cost-efficiency of data and AI systems.
Troubleshoot production issues and ensure system reliability.
Required Skills & ExperienceCore Technical Skills
Robust experience in Kubernetes and Google Kubernetes Engine (GKE)
Hands-on experience with Google Cloud Platform (GCP) services
Expertise in data pipeline development (batch & real-time)
Experience with data extraction, transformation, and ingestion pipelines
Solid understanding of RAG architectures and vector-based retrieval systems
Experience in building agentic pipelines / AI-driven workflows
Platform & Tools
GitHub (version control, CI/CD workflows)
Apigee (API management and integration)
SDP/DLP and Model Armor (data security and compliance handling)
Exper

📌 MODULE LEAD (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru