GCP Data Engineer
Summary
Data engineer in TCS's Data & Analytics unit, building AI-ready data pipelines and platforms on Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Composer, Dataproc). Open to candidates with 4-15 years of experience; hiring via a walk-in interview in Kolkata.
About the Unit:
TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI, it enables organizations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage.
Role - GCP Data Engineer
Walk-in Interview Location: Kolkata
Date: Saturday, 19 September
Experience - 4 to 15 years
Technical/Functional 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.
•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