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Node JS + GCP Data Engineer
Tata Consultancy Services
naukri
Pune
5-10 years
15L-30L
Full time
05 May 2026
Top Skills:
Google Cloud PlatformsNode.JsBig DataGcpGraphqlAgile MethodologyArchitectureBatch ProcessingBigqueryCi/cdCi/cd PipelineCloudCloud StorageComplianceData PipelineData QualityData SystemDataflowDevopsEtlGcpGitGoogle Cloud PlatformGovernanceNode JsNode.jsPerformance OptimizationPipelineReportingRest ApisS3Sql

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Job Description iconJob Description
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Greetings from TCS!!!

TCS presents an excellent opportunity for Node JS + GCP Data Engineer

Role: Node JS + GCP Data Engineer

Desired Experience Range: 5 -10 Years

Drive-Walk-in-Drive (9th-May-2026)

Location: Pune -Tata Consultancy Services Ltd,S3, Sahyadri Park 1, Gate 1, Hinjewadi Phase 3, Pune-411057


Roles Responsibilities-

  • We are looking for a Senior Data Engineer with strong expertise in Node.js and Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and cloudnative data solutions. The ideal candidate will have handson experience with large data sets, realtime and batch processing, and modern data engineering practices on GCP.
  • Design, develop, and maintain scalable data pipelines using Node.js on GCP
  • Build and optimize ETL/ELT workflows for batch and streaming data
  • Work with BigQuery, Cloud Storage, Pub/Sub, Dataflow, and Cloud Functions
  • Develop RESTful and eventdriven services in Node.js for data ingestion and processing
  • Ensure data quality, reliability, and performance across pipelines
  • Optimize SQL queries and data models for analytics and reporting
  • Implement CI/CD pipelines and follow DevOps best practices
  • Monitor, troubleshoot, and tune production data systems
  • Collaborate with product owners, analysts, and application teams
  • Ensure compliance with security, governance, and privacy standards
  • Strong proficiency in Node.js (async programming, performance optimization)
  • Handson experience with Google Cloud Platform, including:
  • Strong SQL skills and experience with large datasets
  • Experience designing data models for analytics and reporting
  • Familiarity with REST APIs and eventdriven architectures
  • Experience with Git, CI/CD, and Agile methodologies