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Gcp Data Engineer-Immediate Joiner-Bangalore

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Onsite

Gcp Data Engineer-Immediate Joiner-Bangalore

Tata Elxsi

Gcp Data Engineer-Immediate Joiner-Bangalore

Skills

Google Cloud PlatformData EngineeringGitData AnalysisTerraform

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹400,000 – ₹900,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Key Responsibilities and Accountabilities:

We are seeking a skilled Data Engineer with 35 years of experience to join our team. He/she will be responsible for designing,

building, and optimizing data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. His/her work will ensure data

reliability, scalability, and quality, supporting the organizations analytics and operational needs.

  • Design, develop, and maintain robust and scalable data pipelines using GCP services, including BigQuery, Cloud Storage,

Dataform, Cloud Run Functions and Workflows.

  • Implement and manage infrastructure as code using Terraform for automated provisioning and management of data

infrastructure.

  • Optimize performance of data warehouses and pipelines through partitioning, clustering, and other best practices to ensure

efficient data processing and query performance.

  • Monitor and maintain the health of the data infrastructure, proactively identifying and resolving issues to ensure high

data reliability and uptime.

  • Troubleshoot and resolve data-related issues, ensuring data quality and consistency across systems.
  • Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver high

quality data solutions.

  • Ensure data reliability, scalability, and quality through robust validation, testing, and monitoring processes.
  • Manage version control and code collaboration using Git.
  • Develop and maintain API integrations for data ingestion and delivery.
  • Document technical solutions and maintain up-to-date records of data workflows and infrastructure.
  1. Key qualifications
  • 3–5 years of professional experience as a Data Engineer or in a similar data-focused role.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  1. Preferred skills
  • Experience with CI/CD pipelines for data engineering workflows.
  • Familiarity with data governance and obser

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