GCP Data Engineer

About us:

Intuitive is an innovation-led engineering company delivering business outcomes for 100s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:

Modernization & Migration

• Application & Database Modernization
• Platform Engineering (IaC/EaC, DevSecOps & SRE)
• Cloud Native Engineering, Migration to Cloud, VMware Exit
• FinOps

Data & AI/ML

• Data (Cloud Native / DataBricks / Snowflake)
• Machine Learning, AI/GenAI

Cybersecurity

• Infrastructure Security
• Application Security
• Data Security
• AI/Model Security

SDx & Digital Workspace (M365, G-suite)

• SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility
• Email, Collaboration, Directory Services, Shared Files Services

Intuitive Services:

• Professional and Advisory Services
• Elastic Engineering Services
• Managed Services
• Talent Acquisition & Platform Resell Services

About the job:

Title: GCP Data Engineer

Start Date: Immediate

Position Type: Full Time

Location: Ahmedabad, India

Job Summary

We are looking for a skilled GCP Data Engineer with 25 years of hands-on experience in building and maintaining scalable data pipelines on Google Cloud Platform. The ideal candidate will work closely with analytics, product, and engineering teams to enable reliable, high-performance data solutions.

Key Responsibilities

• Design, build, and maintain ETL/ELT data pipelines on Google Cloud Platform
• Develop batch and streaming pipelines using BigQuery, Dataflow (Apache Beam), and Pub/Sub
• Optimize BigQuery queries for performance, scalability, and cost efficiency
• Manage data ingestion from multiple sources using Cloud Storage (GCS)
• Orchestrate workflows using Cloud Composer (Apache Airflow)
• Ensure data quality, consistency, security, and monitoring across pipelines
• Collaborate with analysts, data scientists, and stakeholders to support data-driven decisions
• Document data architecture, pipelines, and operational processes

Required Skills & Qualifications

• 25 years of experience in Data Engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise in:
• BigQuery
• Dataflow (Apache Beam)
• Cloud Storage (GCS)
• Strong SQL skills for analytical and large-scale datasets
• Proficiency in Python (or Java) for data processing
• Experience with workflow orchestration tools (Airflow / Cloud Composer)
• Solid understanding of data warehousing and ETL/ELT concepts

Good to Have (Preferred Skills)

• Experience with Pub/Sub for real-time streaming pipelines
• Spark / Dataproc experience
• Infrastructure as Code (Terraform, Deployment Manager)
• CI/CD pipelines and Git-based workflows
• GCP Professional Data Engineer certification
• Exposure to data formats like Parquet, Avro, JSON