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GCP Senior Data Engineer - S

Exclusive opportunity

Onsite

GCP Senior Data Engineer - S

Tata Consultancy Services

GCP Senior Data Engineer - S

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonJavaData AnalysisScalaCompliance

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,500,000 – ₹4,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

28 August 2026

What they need


Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes on Google Cloud Platform (GCP).
  • Build and manage enterprise data solutions leveraging GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Composer.
  • Develop batch and real-time data processing solutions to support analytics and reporting requirements.
  • Design and implement data models, data warehouses, and data lakes to meet business needs.
  • Collaborate with data scientists, analysts, architects, and business stakeholders to deliver data products and insights.
  • Optimize data processing performance, scalability, reliability, and cost efficiency.
  • Ensure data quality, governance, security, and compliance standards are followed throughout the data lifecycle.
  • Automate data workflows and deployments using CI/CD and Infrastructure as Code (IaC) principles.
  • Monitor and troubleshoot data pipelines, system performance, and operational issues.
  • Participate in architecture discussions and contribute to cloud modernization initiatives.
  • Document technical designs, operational procedures, and best practices.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
  • 5+ years of experience in Data Engineering and Data Warehousing.
  • 3+ years of hands-on experience with Google Cloud Platform (GCP).
  • Strong expertise in SQL and data modeling concepts.
  • Experience building scalable ETL/ELT pipelines and data integration solutions.
  • Strong programming skills in Python, Java, or Scala.
  • Hands-on experience with BigQuery and large-scale data processing technologies.
  • Knowledge of streaming and batch data processing frameworks.
  • Experience working with structured, semi-structured, and unstructured data.
  • Understanding of Data Lake, Data Warehouse, and Lakehouse architectures.
  • Familiarity with DevOps, CI/CD, and Infrastructure as Code methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

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