GCP Data Engineer

About The Opportunity

A fast-moving technology consultancy driving cloud-native data transformations for enterprise clients across India, we help organizations harness the power of Google Cloud Platform (GCP) to build scalable, secure, and intelligent data architectures. Our team delivers end-to-end data engineering solutions—from ingestion and warehousing to analytics and ML pipelines—empowering data-driven decision-making at scale.

Role & Responsibilities

Design, build, and maintain scalable data pipelines on GCP using Pub/Sub, Dataflow, Big Query, and Cloud Storage.
Develop and optimize ETL/ELT workflows using Python, SQL, and GCP-native services to support analytics and machine learning use cases.
Collaborate with data scientists and analysts to model data structures and implement data lakes/warehouses for business intelligence.
Automate data validation, monitoring, and alerting using GCP operations tools and custom scripts to ensure pipeline reliability.
Document architectures and data lineage, ensuring compliance with governance and security standards in GCP environments.
Support Dev Ops practices by provisioning and managing GCP infrastructure via Terraform or Deployment Manager.

Skills & Qualifications

Must-Have

Big Query
Dataflow
Pub/Sub
Cloud Storage
Python
SQL
Terraform
GCP Certification (Professional Data Engineer)

Preferred

Looker or BI tools integration

Experience with Apache Beam
Knowledge of GCP AI/ML services (Vertex AI, AutoML)

Benefits & Culture Highlights

Hands-on work with bleeding-edge GCP tools and real-world enterprise data challenges.
Opportunities to transition into cloud architecture or ML engineering roles within 12–18 months.
Collaborative, outcome-driven culture with direct client exposure and rapid career growth.

Skills:

cloud storage,pipelines,gcp,sql