GCP Data Engineer

Tata Consultancy Services; West Bengal; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services invites candidates for the role of GCP Data Engineer at its Kolkata walk-in interview location. The day events include a session on data engineering, GCP technology stack, and data governance. Experience required ranges from 4 to 15 years, with a focus on cloud-based data platforms and collaboration across teams.

Walk-in interview held in Kolkata on Saturday, 19 September. Proficiency in Python/Java/SQL and Google Cloud certifications are highly valued, with

Qualifications

• GCP expertise with Dataflow, BigQuery, Cloud Storage, Cloud Composer.
• Data engineering: data modeling, ETL, data warehousing.
• Proficiency in Python, Java, or SQL.
• Data governance: data quality, data security, data compliance.
• Excellent communication and collaboration skills.
• Google Cloud Certifications: such as Professional Data Engineer or Enterprise Data Engineer.
• Big Data: Hadoop, Spark, NoSQL databases.
• Machine Learning: TensorFlow or Scikit-learn.
• Cloud experience with AWS or Azure.

Job description

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