Hire Top Azure Data Engineers in India!
Years of experience
Customer satisfaction
What Makes Benchkart a Great Partner for Hiring Azure Data Engineers?
Benchkart blends AI-driven talent intelligence, a deep vendor ecosystem, and Avance Group’s governance to deliver world-class Azure data engineering with unmatched speed and reliability.
Security-First Delivery
Enterprise NDAs, governed workflows, compliance-ready delivery, and cloud security standards.
Proven Talent Network
Azure-focused data engineers sourced from our bench, passive network, and 2000+ vetted partners.
Growth-Driven Engineering
Engineers specialized in scalable pipelines, big data architecture, performance optimisation, and enterprise-grade data governance.
Cutting-Edge Tech Stack
Developers bring hands-on expertise in:
Expertise in Azure Data Factory
Databricks
Synapse Analytics
Azure Data Lake
Spark
Delta Lake
SQL
Python
CI/CD, and cloud orchestration
Services We Offer
Azure Data Pipeline Development
Data Lake & Storage Architecture
Big Data Processing & Distributed Computing
BI, Analytics & Data Warehouse Engineering
Legacy-to-Azure Migration
Monitoring, Optimization & Support
Expertise of Our Azure Data Engineers
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ADF pipelines, triggers, mapping data flows
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Integration runtime configuration
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ETL/ELT workflow automation
Roles & Responsibilities: Azure Data Engineers design, schedule, and orchestrate pipelines, implement ingestion patterns, integrate cloud services, and maintain robust data workflows across the enterprise.
ADLS Gen2
Delta Lake, Parquet, Avro, JSON
Hierarchical storage, partitioning strategies
Roles & Responsibilities: They architect cloud-scale storage layers, manage structured/unstructured data, optimize file formats, and ensure secure, cost-efficient data access patterns.
PySpark/Scala/SQL
Cluster configuration & autoscaling
Delta Lake transactions & optimization
Roles & Responsibilities: Engineers build distributed processing pipelines, optimize Spark jobs, handle batch/stream data, and support advanced analytics and machine-learning-ready datasets.
Azure Synapse Analytics
Star/Snowflake schema modeling
Materialized views, partitioning, indexing
Roles & Responsibilities: They design analytical models, optimize query performance, build pipelines for BI tools, and ensure business-ready, trusted data across reporting ecosystems.
Azure DevOps pipelines
ARM/Bicep/Terraform
Monitoring: Azure Monitor, Log Analytics
Roles & Responsibilities: Engineers automate deployments, manage IaC, integrate observability, monitor data workloads, and ensure efficient CI/CD workflows for analytics platforms.
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Azure Purview, Data Catalog
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Access control (RBAC), encryption
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Lineage, metadata, and compliance frameworks
Roles & Responsibilities: They enforce governance standards, manage data lineage, maintain catalog accuracy, control access, and ensure compliance with enterprise and regulatory requirements.
How We Hire Developers
With a structured multi-stage hiring process, we onboard only high-calibre Azure Data Engineers.
Skill Benchmarking
Thorough CV & background evaluation
Human Vetting
Interview with HR specialist
Experience Validation
Technical interview with Azure data architect
Cultural Fit
Technical interview with Laravel architect
Hire Developers from Benchkart
STEP 1 Inquiry
We assess your data ecosystem, ingestion needs, pipeline complexity, and cloud roadmap.
STEP 2 Developer Selection
AI-matched profiles curated from our bench, partners, and passive Azure data engineering talent.
STEP 3 Integration
Engineers integrate with your cloud environment, repositories, security policies, and sprint cycles seamlessly.
STEP 4 Scaling
Scale your data engineering capacity with governed delivery and proactive account management.
Choose the Right Development Model for Your Business
Flexible models for cloud data modernization, analytics engineering, and enterprise data platforms.
Azure Data Engineering Team Augmentation
Add skilled Azure Data Engineers quickly to accelerate delivery.
Dedicated Azure Data Engineering Squad
A full-time team aligned exclusively to your data modernization and analytics roadmap.
Full Azure Data Platform Outsourcing
We manage architecture → data pipelines → DWH → DevOps → governance end-to-end.
Top Reasons to Choose Benchkart for Azure Data Engineer Hiring
Quality + speed + governance built for enterprise delivery.
Built on Avance Group’s Talent Engine
AI-driven talent insights supported by governance and delivery excellence.
Unmatched Speed 48-Hour Shortlists
Receive curated Azure data engineer profiles within 48–72 hours.
Massive Vendor Ecosystem 2000+ Strong
Tap into India’s strongest Azure and cloud data engineering talent network.
Wisestep ATS + CRM Skill-First Precision
AI ranks talent by data pipeline depth, Spark proficiency, Azure cloud mastery, and architecture experience.
Bench-Ready Azure Data Engineers
Experts in ADF, Databricks, Synapse, ADLS, Spark, Python, DevOps, and data governance.
Governed Delivery with Enterprise SLAs
Quality gates, architectural oversight, security checks, and continuity frameworks.
Backed by Avance Group Global Trust
Operating across 13+ countries with proven enterprise delivery history.
Need a Dedicated Azure Data Engineering Team?
Hire pre-vetted Azure data engineers who build cloud-native, scalable, and enterprise-grade data systems from day one.
Shortlist in 48 hours. Onboarding in 5–10 days.
Operates across
Industries We Support for Azure Data Engineer Hiring
Benchkart powers modern engineering across diverse global sectors.
BFSI & FinTech
E-commerce
Manufacturing
SaaS
Logistics
Telecom
Hospitality
FAQs
1. What does an Azure Data Engineer do?
They build, optimize, and manage cloud-native data pipelines, lakes, warehouses, and analytics systems on Azure.
2. Which tools are most important for Azure Data Engineers?
Azure Data Factory, Databricks, Synapse, ADLS, Spark, SQL, Python, and Azure DevOps.
3. Is Azure good for enterprise data workloads?
Yes, Azure is a leading cloud platform for data engineering, governance, analytics, and scalable big data workloads.
4. How much does it cost to hire an Azure Data Engineer in India?
Typical rates range from $25–$60 per hour, depending on experience with pipelines, Spark, and data architecture.
5. Can Benchkart deliver Azure Data Engineers within 48 hours?
Yes, shortlists typically arrive within 48–72 hours.
6. Can I hire an entire data engineering team?
Absolutely, including engineers, architects, DevOps, BI specialists, and QA.
7. Will engineers work in my preferred time zone?
Yes, overlapping US, UK, EU, and ME shifts are easily arranged.
8. Do you support on-prem to Azure data migration?
Yes, including Hadoop migration, ETL modernization, and data warehouse migration.
9. How do you ensure data security and governance?
Through RBAC, encryption, compliance frameworks, cataloging, and governed delivery methods.
10. Why hire Azure Data Engineers from Benchkart?
You gain access to elite Indian cloud data talent enhanced with AI vetting, governance, and SLA-driven delivery.
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