GCP Data Engineer

Hiring Now | GCP Data Engineer

Location: Bengaluru, India

Work Mode: Onsite

Experience: 5+ Years

Start: Immediate Joiners Preferred

Role Overview

We are looking for a skilled GCP Data Engineer to design, build, modernize, and support enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong experience in building scalable data pipelines, data transformation frameworks, cloud-native analytics solutions, and real-time/batch data processing.

Key Responsibilities

Build and maintain data systems and pipelines using Dataproc, Dataflow, Data Fusion, BigQuery, and Pub/Sub

Implement workflows, scheduling, and orchestration using Cloud Composer (Apache Airflow)

Design and manage data storage solutions leveraging BigQuery, Cloud Storage, and Cloud SQL

Develop and optimize ETL/ELT pipelines using DataPrep, Cloud Composer, PySpark, and Dataflow

Create and maintain data ingestion and transformation processes for large-scale datasets

Monitor, troubleshoot, and optimize data pipelines using Cloud Monitoring and Stackdriver

Automate data processing and operational tasks using Python and Bash scripting

Implement security, governance, and compliance using IAM roles, service accounts, and access policies

Automate infrastructure provisioning using Terraform and Infrastructure-as-Code (IaC) practices

Participate in code reviews and contribute to engineering best practices for robust, scalable data solutions

Collaborate with Product Owners, Scrum Masters, Data Analysts, and cross-functional teams in an Agile environment

Required Skills & Experience

5+ years of application development experience on cloud platforms (AWS, Azure, or GCP)

Minimum 1+ year of hands-on experience with Google Cloud Platform (GCP)

Strong experience with:

• BigQuery
• BigTable
• Google Cloud Storage
• Pub/Sub
• Data Fusion
• Dataflow
• Dataproc
• Cloud Composer / Apache Airflow

2+ years of coding experience in:

• Python
• PySpark
• Java
• SQL

Experience building and managing large-scale batch and real-time data processing systems

Strong understanding of:

• Data Modeling
• ETL/ELT Development
• Data Architecture
• Data Quality & Validation

Experience with:

• CI/CD pipelines
• Agile & Lean methodologies
• MapReduce or MPP systems
• Cloud-native analytics platforms

Preferred Qualifications

⭐ Experience architecting next-generation data and analytics solutions on GCP

⭐ Expertise in infrastructure automation and cloud deployment frameworks

⭐ Strong problem-solving and performance optimization skills

Interested candidates can share their updated resume and contact details.