Job Title : GCP Lead
Location : PAN India
Experience : 7–9 Years
Job Summary
We are seeking a highly skilled Data Product Engineer with deep expertise in Google Cloud Platform (GCP) to drive the full lifecycle of enterprise data product development. The role requires hands-on experience in data engineering, architecture, and CI / CD automation, along with a strong understanding of governance, performance optimization, and scalable data systems.
Key Responsibilities
- Product Development
- Drive end-to-end data product lifecycle—from ideation and prototyping to deployment on GCP.
- Deliver scalable data solutions aligned with the corporate information model.
- Technical Leadership
- Provide hands-on leadership in building data pipelines, APIs, and data services using GCP-native tools.
- Guide junior engineers and review PRs to ensure code and release quality.
- Architecture & Design
- Design scalable, secure, and cost-optimized data architectures using BigQuery, Dataflow, Pub / Sub, Cloud Functions, and Cloud Composer.
- Cross-Functional Collaboration
- Partner with product owners, business analysts, and project managers to translate requirements into robust technical solutions.
- Quality & Governance
- Implement data quality, lineage, and observability standards aligned with enterprise governance policies.
- Innovation & Optimization
- Continuously optimize cost, performance, and scalability across GCP workloads.
- Documentation & Enablement
- Maintain technical documentation and provide enablement support for engineering teams.
Technical Responsibilities
Build and optimize batch and streaming pipelines using Dataflow, Apache Beam, and Cloud Composer.Design and implement data models for analytics and BI (BigQuery, LDS).Develop and manage RESTful APIs using Cloud Functions or Cloud Run.Implement Infrastructure as Code (IaC) using Terraform or Deployment Manager.Maintain CI / CD pipelines with Cloud Build, GitHub Actions, or Jenkins.Set up monitoring and alerting using Cloud Monitoring & Logging (Stackdriver).Configure IAM, VPC Service Controls, and encryption for data security.Manage and optimize GCP costs and resource utilization.Required Qualifications
Experience : 8+ years in data engineering / software development; 3+ years in technical or product leadership.GCP Expertise : BigQuery, Dataflow, Pub / Sub, Cloud Storage, Cloud Functions, Cloud Composer, IAM, VPC.Data Engineering : Advanced ETL / ELT design, real-time streaming, and data lake implementation.DevOps : CI / CD setup, Terraform, Git; containerization (Docker / Kubernetes – optional, preferred).Skills Required
BigQuery, Vpc, Jenkins, Terraform, Iam, Apache Beam, DataFlow, Restful Apis, Monitoring, Logging