GCP Data Engineer - F2F discussion - Chennai

Tata Consultancy Services; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services (TCS) in Chennai is seeking a GCP Data Engineer to design, build, and maintain scalable data pipelines on Google Cloud Platform for batch and real-time processing.

You will work with Dataflow, Dataproc, Pub/Sub, and Cloud Composer to implement ETL/ELT workflows and manage data warehouses and data lakes with BigQuery and Cloud Storage. Strong SQL and Python/Java/Scala skills are required.

Qualifications

• 5–15 years of relevant experience.
• GCP data services expertise required.
• Strong SQL and programming skills in Python/Java/Scala.

Responsibilities

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) for batch and real-time processing.
• Build and optimize ETL/ELT workflows using Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
• Develop and manage data warehouses and data lakes using BigQuery and Cloud Storage.
• Write efficient SQL queries and develop data processing solutions using Python, Java, or Scala.
• Ensure data quality, security, governance, and compliance across enterprise data platforms.
• Monitor, troubleshoot, and optimize cloud-based data pipelines for performance, reliability, and cost efficiency.
• Collaborate with data scientists, analysts, developers, and business stakeholders to deliver scalable data solutions.

Skills

Data pipelines

SQL

Python

Java

Scala

GCP

BigQuery

ETL/ELT

Data warehouses

Data lakes

Data governance

Cloud cost optimization

Tools

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Job description

Greetings from Tata Consultancy Services (TCS)

What we are looking for : GCP Data Engineer

Interview Mode : F2F discussion

Experience : 5-15 Years

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) for batch and real-time processing.
  
• Build and optimize ETL/ELT workflows using GCP services such as Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
  
• Develop and manage data warehouses and data lakes using BigQuery and Cloud Storage.
  
• Write efficient SQL queries and develop data processing solutions using Python, Java, or Scala.
  
• Ensure data quality, security, governance, and compliance across enterprise data platforms.
  
• Monitor, troubleshoot, and optimize cloud-based data pipelines for performance, reliability, and cost efficiency.
  
• Collaborate with data scientists, analysts, developers, and business stakeholders to deliver scalable data solutions and support analytics initiatives.