GCP Data Engineer

About The Opportunity A dynamic leader in the cloud data engineering and enterprise analytics space, we empower organizations across India to unlock data-driven decisions through scalable, secure, and modern cloud-native architectures. Partnering with top Fortune 500 clients and fast-scaling startups, we deliver high-impact GCP-centric data solutions—from real-time ingestion to AI-ready data lakes—focused on performance, governance, and innovation.

Role & Responsibilities

• Design, build, and maintain scalable data pipelines on Google Cloud Platform using Dataflow, BigQuery, Pub/Sub, and Cloud Storage.
• Orchestrate ETL/ELT workflows using Composer (Airflow) and integrate with source systems (SAP, Salesforce, APIs, etc.) for batch and real-time streaming.
• Optimize data models and query performance in BigQuery; implement partitioning, clustering, and materialized views for cost and speed efficiency.
• Collaborate with data scientists and analysts to enable ML feature engineering, model training datasets, and monitoring through Vertex AI and BigQuery ML.
• Enforce data lineage, quality, and governance via Data Catalog, DLP, and custom validation frameworks;
• Implement Infrastructure as Code (IaC) using Terraform or Deployment Manager and establish CI/CD pipelines for data infrastructure automation.

Skills & Qualifications

• Must-Have
• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Pub/Sub
• Cloud Composer (Airflow)
• Terraform
• Python
• SQL
• Preferred
• Vertex AI
• Data Catalog / DLP
• Looker or BI tools integration

Benefits & Culture Highlights

• Work alongside cloud experts on high-visibility, client-facing GCP data projects with global impact.
• Access to GCP certification sponsorships, hands-on sandbox environments, and innovation labs.
• On-site collaborative culture with hybrid flexibility, regular tech talks, and peer-driven learning circles. Skills: google,airflow,data,cloud,gcp