Hire Top GCP Data Engineers in India!
Years of experience
Customer satisfaction
What Makes Benchkart a Great Partner for Hiring GCP Data Engineers?
Benchkart blends AI-driven talent intelligence, a deep vendor ecosystem, and Avance Group’s governance to deliver world-class GCP data engineering with unmatched speed and reliability.
Security-First Delivery
Enterprise NDAs, governed cloud workflows, VPC restrictions, and compliance-driven engineering.
Proven Talent Network
GCP-specialized data engineers sourced from our bench, passive cloud network, and 2000+ vetted partners.
Growth-Driven Engineering
Engineers focused on high-volume pipelines, analytics, data lakes, cost efficiency, and cloud-native scalability.
Cutting-Edge Tech Stack
Developers bring hands-on expertise in:
Expertise in BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Composer (Airflow)
Dataform
GCS
Python
SQL
Spark
Terraform, and CI/CD
Services We Offer
Cloud Data Pipeline Development
GCS-Based Data Lake Architecture
BigQuery Analytics Engineering
Real-Time & Event-Driven Data Engineering
Migration from On-Prem or Other Clouds to GCP
Data Quality, Monitoring & Cost Optimization
Expertise of Our GCP Data Engineers
Advanced SQL, partitioning & clustering
BigQuery ML, materialized views
Data modeling for analytics & BI
Roles & Responsibilities: GCP Data Engineers design scalable analytical models, build ELT pipelines into BigQuery, optimize queries for performance and cost, and deliver trusted datasets for reporting and ML workloads.
Beam pipelines (Python/Java)
Apache Spark and Hadoop workloads
Batch & streaming transformations
Roles & Responsibilities: They develop distributed ETL pipelines, manage large-scale transformations, tune Dataflow jobs, handle both batch and streaming workloads, and ensure reliable data orchestration.
GCS (Google Cloud Storage)
Delta/Parquet/Avro formats
Lifecycle rules, partitioning strategies
Roles & Responsibilities: Engineers build secure and cost-efficient data lakes, manage structured/unstructured storage layers, implement schema management, and optimize access patterns across data zones.
Cloud Composer (Airflow)
Dataform for SQL-based transformation
Dependency-driven DAG automation
Roles & Responsibilities: They orchestrate pipelines, schedule transformations, build fail-safe DAGs, automate data quality checks, and integrate workflows across GCP services.
Pub/Sub, Kafka on GCP
Dataflow streaming
Event-driven micro-batch pipelines
Roles & Responsibilities: Developers design real-time ingestion systems, manage event streams, implement low-latency transformations, and support near-real-time analytics workloads.
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IAM, VPC SC, data lineage
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Terraform, Cloud Build, CI/CD
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Monitoring: Cloud Logging, Cloud Monitoring
Roles & Responsibilities: They enforce governance, secure data assets via IAM policies, manage infrastructure as code, implement CI/CD pipelines, monitor workloads, and ensure reliable, compliant operations.
How We Hire Developers
With a structured multi-stage hiring process, we onboard only high-calibre GCP Data Engineers.
Skill Benchmarking
Thorough CV & background evaluation
Human Vetting
Interview with HR specialist
Experience Validation
Communication & soft-skills assessment
Cultural Fit
Technical interview with GCP data architect
Hire Developers from Benchkart
STEP 1 Inquiry
We assess your GCP data landscape, pipeline needs, DWH goals, analytics requirements, and cloud strategy.
STEP 2 Developer Selection
AI-matched GCP profiles sourced from bench, vetted partners, and passive cloud data engineering talent.
STEP 3 Integration
Engineers join your GCP environment, security policies, CI/CD workflows, repos, and sprints seamlessly.
STEP 4 Scaling
Scale data engineering capacity confidently with governed continuity and account management.
Choose the Right Development Model for Your Business
Flexible engagement models for cloud modernization, analytics platforms, and enterprise data engineering.
GCP Data Engineering Team Augmentation
Extend your team with experienced cloud data engineers.
Dedicated GCP Data Engineering Squad
A full-time team aligned exclusively to your data platform modernization roadmap.
Full GCP Data Platform Outsourcing
We manage data architecture → pipeline builds → DWH → DevOps → governance.
Top Reasons to Choose Benchkart for GCP Data Engineer Hiring
Quality + speed + governance built for enterprise delivery.
Built on Avance Group’s Talent Engine
AI-powered talent matching supported by enterprise governance and delivery excellence.
Unmatched Speed 48-Hour Shortlists
Access India’s largest governed ecosystem for cloud and data engineering talent.
Massive Vendor Ecosystem 2000+ Strong
AI evaluates candidates by cloud architecture depth, SQL expertise, pipeline complexity, and big data capabilities.
Wisestep ATS + CRM Skill-First Precision
Skilled in BigQuery, Dataflow, Dataproc, Pub/Sub, Composer, Dataform, Spark, Python, and governance.
Bench-Ready GCP Data Engineers
Experienced in Laravel, microservices, caching, queues, testing, and cloud deployments.
Governed Delivery with Enterprise SLAs
Quality gates, adherence to cloud standards, architecture oversight, and continuity frameworks.
Backed by Avance Group Global Trust
Operating across 13+ countries with a strong enterprise delivery track record.
Need a Dedicated GCP Data Engineering Team?
Hire pre-vetted GCP data engineers who build cloud-native, scalable, and analytics-driven data systems from day one.
Shortlist in 48 hours. Onboarding in 5–10 days.
Operates across
Industries We Support for GCP Data Engineer Hiring
Benchkart powers modern engineering across diverse global sectors.
BFSI & FinTech
Healthcare
E-commerce
Manufacturing
SaaS
Logistics
Telecom
Hospitality
FAQs
1. What does a GCP Data Engineer do?
They build data lakes, ETL/ELT pipelines, warehouses, and streaming data systems using Google Cloud services.
2. Which GCP tools are essential for Data Engineers?
BigQuery, Dataflow, Dataproc, Pub/Sub, Composer, Dataform, GCS, and Terraform.
3. Is GCP good for enterprise analytics workloads?
Yes, GCP is a top-tier platform for large-scale analytics, ML workloads, real-time pipelines, and cost-efficient data platforms.
4. How much does it cost to hire a GCP Data Engineer in India?
Typical rates range from $25–$60 per hour, depending on Spark expertise, ETL complexity, and GCP architecture skills.
5. Can Benchkart deliver GCP data engineers within 48–72 hours?
Yes, shortlists usually arrive in that timeframe.
6. Can I hire an end-to-end GCP data engineering team?
Yes, including engineers, architects, ML specialists, BI engineers, and QA.
7. Do GCP engineers work in international time zones?
Yes, overlapping US, UK, EU, and ME work hours are commonly supported.
8. Can you migrate on-prem or AWS/Azure data systems to GCP?
Yes, Benchkart engineers handle cross-cloud migrations and modernization projects.
9. How do you ensure GCP data security and compliance?
Through IAM controls, encryption, VPC SC, governance frameworks, and SLA-driven delivery.
10. Why hire GCP Data Engineers from Benchkart?
You gain access to top-tier GCP data engineering talent, strengthened by AI vetting, vendor governance, and enterprise SLAs.
Get in Touch with Benchkart Reliable Tech Talent Delivery
We’re happy to answer any questions you may have and help you understand how Benchkart can support your technology hiring and delivery needs.
Your benefits:
- Vendor-verified
- Delivery-focused
- AI-driven
- Results-oriented
- Execution-ready
- Transparent
What happens next?
We schedule a quick call at your convenience
We understand your role, timeline, and delivery context
We activate the right talent path