Data Engineer - GCP

People Consultancy Services (PCS); India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A consulting firm is seeking a highly skilled Senior GCP Data Engineer with 6-7 years of experience to design and develop scalable data pipelines on Google Cloud. The candidate will optimize data workflows, ensure data quality, and collaborate with teams to support AI/ML requirements. Proficiency in GCP services like BigQuery and expertise in Python and PySpark are essential for this role. This is a growth-oriented position in a dynamic environment.

Qualifications

• 6-7 years of experience as a Data Engineer.
• Strong hands-on experience with GCP services.
• Expertise in data architecture and pipeline design.

Responsibilities

• Design and build scalable, high-performance data pipelines on Google Cloud.
• Develop and maintain batch and real-time data processing systems.
• Optimize data workflows for performance, reliability, and scalability.

Skills

Google Cloud Platform (GCP)

BigQuery

Cloud SQL

Pub/Sub

Vertex AI

Python

PySpark

Dataflow

Dataproc

Apache Airflow

Job description

Project Duration: 3+ Months (extendable subject to availability)

Job Overview

We are seeking a highly skilled 6-7 Years experienced Senior GCP Data Engineer to design, develop, and optimize scalable, cloud-native data pipelines and AI-ready data platforms on Google

Cloud. The ideal candidate will have strong hands-on experience with GCP services and

Key Responsibilities

• Design and build scalable, high-performance data pipelines on Google Cloud
• Develop and maintain batch and real-time (streaming) data processing systems
• Optimize data workflows for performance, reliability, and scalability
• Collaborate with cross-functional teams to support AI/ML data requirements
• Ensure data quality, governance, and security best practices
• Manage and monitor production-grade data pipelines

Required Skills

• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise in BigQuery, Cloud SQL, Pub/Sub, and Vertex AI
• Proficiency in Python and PySpark for data engineering workloads
• Experience with Dataflow and Dataproc for batch and streaming pipelines
• Hands-on experience with Apache Airflow for workflow orchestration
• Strong understanding of data architecture and pipeline design
• Excellent communication and collaboration skills