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Salary
≈ $22k – $45k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Engineer. Skills: Python, GCP - IT Service Management Consulting, MySql. Experience: 6 - 12 Years. Qualification: Bachelor Of Engineering

Job description

About the Unit:

TCS Interactive brings together the power of creativity, AI, and human ingenuity to help organisations create experiences that inspire action and drive growth. Uniting strategy, design, technology, and analytics, it transforms ideas into connected experiences that are intuitive, intelligent, and impactful. From shaping digital products and customer journeys to enabling personalised engagement at scale, TCS helps businesses stay ahead in an increasingly experience-driven world. By turning imagination into measurable outcomes, TCS is helping define the future of customer experience.

Role Name:GCP Data Engineer

Must Have Skills

  • Strong experience with Google Cloud Data Engineering services such as BigQuery, Dataproc, and GCP Data Ecosystem.
  • Hands-on expertise in Python, PySpark, and data engineering workflows.

    Proficiency in SQL and NoSQL databases.

  • Strong understanding of Data Warehousing concepts and architecture.

    Experience designing and maintaining ETL/ELT pipelines using tools like Apache Airflow, Talend, or Informatica.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Integrate data from multiple sources ensuring data accuracy and reliability.

    Optimize data processing and storage for performance and cos t efficiency.

  • Implement data quality checks and validation frameworks.
  • Monitor and troubleshoot data platforms to ensure high availability and stability.

Good to Have

  • Knowledge of GCP DevOps practices.
  • Experience in Data Modeling and scalable data design.

    Familiarity with Git/version control systems.

  • Understanding of Data Governance, Data Quality, and Data Security principles.
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