GCP Data Engineer_17th October_Virtual Interview

Tata Consultancy Services Limited; Hyderabad, Chennai, Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services Limited is seeking an experienced GCP Data Engineer to design, develop, and maintain scalable data platforms on Google Cloud Platform (GCP). The role requires hands-on work with data ingestion, transformation, ETL development, and cloud-native data services to support large-scale data processing.

You will design and implement scalable ETL/ELT pipelines, utilize BigQuery, Dataflow, Dataproc, and Cloud Storage, and collaborate with Data Scientists, Analysts, and Business

Qualifications

• 6-10 years of IT experience.
• Proficient with Google Cloud Platform (GCP).
• Experience building ETL/ELT pipelines.

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.

Skills

GCP

SQL

Python/Java

Data warehousing

CI/CD

Tools

BigQuery

Dataflow

Dataproc

Cloud Storage

Pub/Sub

Airflow/Cloud Composer

Git

Docker

Kubernetes

Job description

Role

GCP Data Engineer

Experience

6-10 Years

Locations

Chennai, Bengaluru, Hyderabad, Pune, Kochi, Kolkata, NCR/Delhi

Interview Mode

Virtual Interview on 17th October

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.