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GCP Architect and Data Eng.

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Onsite

GCP Architect and Data Eng.

Tata Consultancy Services

GCP Architect and Data Eng.

Skills

Google Cloud PlatformSQL QueriesFlaskPythonMicroservicesPostgreSQLRedisData AnalysisFastAPIProcess Improvement

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


Role: GCP Architect and Data Eng.

Exp: 6-10 years

Location: Chennai, Bengaluru,Hyd,Pune,Kochi, Kol,NCR,Delhi

Virtual Interview : 5-Oct-26 (Monday)

Job Description :

Required Technical Skill Set

  • GCP Architect with experience in Event driven architecture and Distributed systems with focus on Scalability and Availability
  • BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, Bigtable, Firestore, Cloud Datastore
  • Python, FastAPI, Flask, REST APIs, Microservices, Service Integration
  • PostgreSQL, Redis, Data Processing Pipelines

Must-Have

  • Strong expertise in BigQuery, Dataflow, Pub/Sub, Cloud Functions, and GCP Data Services.
  • Hands-on experience in data modeling, advanced SQL, query optimization, and database performance tuning.
  • Experience designing real-time data processing pipelines and event-driven architectures.
  • Strong knowledge of PostgreSQL, REST APIs, microservices, and service integration patterns.
  • Experience in building scalable, highly available cloud-native applications.
  • Strong troubleshooting skills for production issues, performance bottlenecks, and distributed systems.
  • Excellent communication, stakeholder management, and client-facing skills.

Good-to-Have

  • Experience with Firestore / Cloud Datastore and NoSQL database design.
  • Hands-on experience with Redis caching and performance optimization.
  • Knowledge of data security, encryption, masking, and governance frameworks.
  • Experience with BI reporting, analytics dashboards, and customer demand forecasting.
  • Exposure to data migration, transformation, and modernization projects.
  • Knowledge of cloud-native architecture patterns and distributed systems concepts.
  • Experience collaborating with Data Analytics, BI, and Business teams.
  • Ability to identify and implement automation, process improvements, and cost optimization initiatives.
  • Experience with CI/CD, DevOps practices, and cloud deployment strategies.

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