Tcs Opportunity_GCP Data Engineer | Oct 24th |

Tata Consultancy Services Limited; Chennai, Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Tata Consultancy Services Limited in Chennai seeks an experienced GCP Data Engineer to design, develop, and maintain scalable data platforms on Google Cloud. The role involves building ETL/ELT pipelines and collaborating with data scientists, analysts, and business teams across multiple locations in India.

The ideal candidate has hands-on experience with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and orchestration with Airflow. Strong SQL, Python/Java, and CI/CD skills are required.

Qualifications

• 6–10 years of IT experience in data roles.
• Strong hands-on GCP experience.
• Hands-on with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub.
• Strong SQL skills for data engineering and analytics.
• Experience in building ETL/ELT pipelines.
• Proficiency in Python or Java for data engineering.
• Understanding of data warehousing and data lake concepts.
• Experience with Git and CI/CD processes.

Responsibilities

• Design and build scalable ETL/ELT pipelines on GCP.
• Develop data processing solutions using BigQuery, Dataflow, and Dataproc.
• Ingest and transform data from multiple sources.
• Collaborate with Data Scientists, Analysts, and Business teams.
• Implement data quality, governance, security, and monitoring.
• Troubleshoot performance issues and optimize workflows.
• Follow CI/CD and DevOps practices for deployment and maintenance.

Skills

GCP

SQL

ETL/ELT

Python/Java

Data warehousing

CI/CD

Team collaboration

Tools

BigQuery

Dataflow

Dataproc

Cloud Storage

Pub/Sub

Airflow

Git

CI/CD

Docker

Kubernetes

Job description

Job description

Role: GCP Data Engineer
Experience: 6-10 Years
Locations: Chennai, Bengaluru, Hyderabad, Pune, Kochi, Kolkata, NCR/Delhi

Interview Mode: Virtual Interview on 24th October (Saturday)

Job Summary

We are looking for an experienced GCP Data Engineer with strong expertise in designing, developing, and maintaining scalable data platforms on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience in data ingestion, transformation, ETL development, cloud-native data services, and large-scale data processing.

Key Responsibilities

• Design and develop scalable ETL/ELT data pipelines on GCP.
• Build and maintain data processing solutions using BigQuery, Dataflow, Dataproc, and Cloud Storage.
• Develop and optimize data ingestion and transformation frameworks.
• Work with structured and unstructured data from multiple sources.
• Collaborate with Data Scientists, Analysts, and Business teams to support data requirements.
• Implement data quality, governance, security, and monitoring processes.
• Troubleshoot performance issues and optimize data workflows.
• Follow CI/CD and DevOps best practices for deployment and maintenance.

Required Skills

• 6-10 years of overall IT experience.
• Strong experience with Google Cloud Platform (GCP).
• Hands-on experience with:
  • BigQuery
  • Dataflow
  • Dataproc
  • Cloud Storage
  • Pub/Sub
  • Cloud Composer/Airflow
• Strong SQL skills.
• Experience in building ETL/ELT pipelines.
• Knowledge of Python or Java for data engineering.
• Understanding of data warehousing and data lake concepts.
• Experience with Git and CI/CD processes.

Preferred Skills

• Experience with Apache Spark/PySpark.
• GCP Certifications.
• Exposure to Kafka and real-time data processing.
• Experience with Docker and Kubernetes.

Note: Looking for candidates with a 90-day notice period.

Important: We are specifically considering candidates with an official 90-day notice period