Infocusp Innovations - Senior Data Engineer - Google Cloud Platform

About the Role :We are seeking a highly skilled Senior Data Engineer with strong hands-on experience in Google Cloud Platform (GCP), cloud infrastructure, data ingestion, and Python. The ideal candidate will have a proven track record of designing and implementing scalable data platforms, organizing GCP environments to meet data sovereignty requirements, and building secure and reliable data ingestion and transfer solutions.Key Responsibilities :GCP Architecture & Infrastructure :- Design, develop, and maintain scalable GCP infrastructure for enterprise data workloads.- Architect and organize GCP environments to support data sovereignty and data residency requirements.- Design appropriate GCP projects, environments, networking, storage, IAM, and security configurations for data platforms.- Establish scalable and reliable cloud infrastructure patterns for data processing and storage.Data Ingestion & Pipeline Engineering:- Design and implement robust data ingestion pipelines for structured and unstructured data sources.- Build production-grade ingestion frameworks to reliably process and move data into GCP or similar storage.- Develop scalable and fault-tolerant data pipelines with appropriate validation, monitoring, and error handling.- Optimize data ingestion workflows for performance, reliability, and cost.- Ensure data pipelines maintain data quality, integrity, and traceability throughout the ingestion process.Python Development & Automation :- Develop production-grade data engineering applications and automation using Python.- Build reusable libraries, services, and utilities to support data ingestion and processing workflows.- Automate infrastructure and data engineering processes to improve operational efficiency.- Implement appropriate logging, monitoring, error handling, and testing for Python-based services and pipelines.Collaboration & Ownership :- Work closely with Data Engineers, Software Engineers, Cloud/Infrastructure Engineers, Security teams, and business stakeholders.- Take ownership of technical initiatives from architecture and design through production deployment and ongoing support.Requirements :- 5+ years of experience in Data Engineering, Cloud Engineering, or a related field.- Strong hands-on experience with Google Cloud Platform (GCP).- Proven experience designing and implementing GCP architecture and infrastructure for data workloads.- Good understanding of GCP services such as Google Cloud Storage (GCS), BigQuery, Pub/Sub, Dataflow, Cloud Run/GKE, VPC, IAM, and Cloud Monitoring.- Experience with cloud networking, security, authentication, authorization, and access control.- Experience with infrastructure automation and Infrastructure as Code (IaC), preferably Terraform.- Strong understanding of data quality, monitoring, observability, and production operational best practices.- Experience organizing GCP environments to meet data sovereignty and data residency requirements.- Strong experience building data ingestion pipelines and data processing workflows.- Hands-on experience designing and implementing secure data transfer and proxy solutions.- Strong proficiency in Python and experience building production-grade applications and data pipelines.- Excellent communication skills and ability to work independently with minimal supervision.Location : Ahmedabad or Pune (ref:hirist.tech)