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Big Data with GCP(candidates with 45 days or less notice period only)

Actively Reviewing the Applications

Tata Consultancy Services

Chennai Full-Time 4–8 years
Posted 5 days ago Apply by June 11, 2026

Job Description

TCS Hiring!!

TCS is Having vacancy for skill Big Data GCP at TCS PAN INDIA location


Responsibilities:

  • Data Pipeline Development: Design, develop, and maintain data pipelines using Google Cloud Dataflow, Cloud Composer, and BigQuery.
  • Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using BigQuery and Cloud Storage.
  • Data Governance: Develop and maintain data governance policies, procedures, and standards for GCP.
  • Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.
  • Cost Optimization: Optimize GCP costs and ensure data processing efficiency.

Required Skills:

  • Google Cloud Platform: In-depth knowledge of GCP, including Cloud Dataflow, BigQuery, Cloud Storage, and Cloud Composer.
  • Data Engineering: Strong understanding of data engineering concepts, including data modeling, ETL, and data warehousing.
  • Expertise in Cloud storage, Dataproc, Cloud Functions, Messaging/Streaming (pub-sub)
  • Programming: Proficiency in programming languages, including Python, Java, or SQL.
  • Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.
  • Communication: Excellent communication and collaboration skills.

Preferred Skills:

  • Google Cloud Certifications: Relevant certifications, such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Enterprise Data Engineer.
  • Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.
  • Machine Learning: Experience with machine learning frameworks, including TensorFlow or Scikit-learn.
  • Cloud Experience*: Experience with other cloud-based data platforms, including AWS or Azure

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