Hire Top AWS Data Engineers in India!
Years of experience
Customer satisfaction
What Makes Benchkart a Great Partner for Hiring AWS Data Engineers?
Benchkart blends AI-driven talent intelligence, a deep vendor ecosystem, and Avance Group’s governance to deliver world-class AWS data engineering with unmatched speed and reliability.
Security-First Delivery
Enterprise-grade NDAs, governed data practices, IAM-based restrictions, and cloud security alignment.
Proven Talent Network
PHP/Laravel specialists sourced from our bench, passive network, and 2000+ vetted vendor partners.
Growth-Driven Engineering
Engineers specialized in scalable pipelines, big data workloads, data lakes, analytics, and enterprise-grade cloud solutions.
Cutting-Edge Tech Stack
Developers bring hands-on expertise in:
Expertise in Glue
EMR
S3
Redshift
Athena
Kinesis
Lambda
Step Functions
DynamoDB
Snowflake on AWS
PySpark, Python
Terraform
CI/CD, and monitoring tools
Services We Offer
AWS Data Pipeline Development
Data Lake & Storage Architecture
Real-Time & Streaming Pipeline Development
Data Warehousing & Analytics Engineering
AWS Migration & Modernization
Continuous Monitoring, Optimization & Support
Expertise of Our AWS Data Engineers
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Glue ETL jobs
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Glue Studio & Workflows
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Step Functions orchestration
Roles & Responsibilities: Engineers design ETL/ELT workflows, automate data processing, manage Glue crawlers, and build reliable orchestration layers for data ingestion and transformation.
Amazon S3
Lake Formation, cataloging
Partitioning strategies, file formats (Parquet, ORC)
Roles & Responsibilities: They architect cloud-scale storage layers, optimize data layouts, manage schema evolution, enforce access control, and ensure secure and cost-efficient data storage.
Amazon Redshift
Spectrum, materialized views
Athena query optimization
Roles & Responsibilities: They design analytical models, optimize warehouse performance, support BI tools, and deliver business-ready datasets across complex reporting pipelines.
Terraform, CloudFormation
AWS CI/CD pipelines
Monitoring with CloudWatch, X-Ray, OpenSearch
Roles & Responsibilities: Engineers automate infrastructure creation, deploy scalable data workloads, integrate observability, and maintain end-to-end CI/CD workflows for cloud data environments.
PySpark, Scala, EMR clusters
Autoscaling, spot optimization
Delta Lake integrations
Roles & Responsibilities: AWS Data Engineers build distributed compute pipelines, tune Spark jobs, implement transformations at scale, and support advanced analytics or ML workflows.
Kinesis Data Streams
Firehose, Kafka on AWS
Lambda-based light ETL
Roles & Responsibilities: They design and maintain real-time ingestion systems, build event-driven architectures, ensure low-latency data flow, and support near-real-time analytics requirements.
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PHPUnit, Pest, Mockery
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Profiling, caching, PHP-FPM tuning
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Code reviews, static analysis
Roles & Responsibilities: They write automated test suites, optimize application responsiveness, debug performance bottlenecks, and ensure secure, high-quality, production-ready releases.
How We Hire Developers
With a structured multi-stage hiring process, we onboard only high-calibre AWS 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 AWS data architect
Hire Developers from Benchkart
STEP 1 Inquiry
We assess your data environment, ingestion needs, data lake architecture, DWH goals, and real-time requirements.
STEP 2 Developer Selection
AI-matched AWS data engineer profiles curated from our bench, vetted vendors, and passive pipelines.
STEP 3 Integration
Engineers integrate seamlessly with your AWS accounts, IAM policies, pipelines, repositories, and workflows.
STEP 4 Scaling
Scale your AWS data platform with governed continuity, quality checkpoints, and account manager oversight.
Choose the Right Development Model for Your Business
Flexible models for cloud-first data modernization and analytics engineering.
AWS Data Engineering Team Augmentation
Add expert AWS data engineers instantly to accelerate delivery.
Dedicated AWS Data Engineering Squad
A full-time team aligned exclusively to your cloud and data modernization roadmap.
Full AWS Data Platform Outsourcing
We manage architecture → pipeline engineering → DWH → DevOps → governance.
Top Reasons to Choose Benchkart for AWS Data Engineer Hiring
Quality + speed + governance built for enterprise delivery.
Built on Avance Group’s Talent Engine
AI-backed talent intelligence combined with enterprise data governance.
Unmatched Speed 48-Hour Shortlists
Receive curated AWS Data Engineer profiles within 48–72 hours.
Massive Vendor Ecosystem 2000+ Strong
India’s strongest cloud and data engineering vendor network.
Wisestep ATS + CRM Skill-First Precision
AI ranks talent by AWS proficiency, Spark expertise, ETL depth, orchestration skill, and architectural maturity.
Bench-Ready AWS Data Engineers
Skilled in Glue, EMR, S3, Redshift, Athena, Kinesis, Lambda, and Terraform.
Governed Delivery with Enterprise SLAs
Architecture governance, cloud security checks, quality gates, and continuity assurance.
Backed by Avance Group Global Trust
Serving clients across 13+ countries with proven cloud-data delivery excellence.
Need a Dedicated AWS Data Engineering Team?
Hire pre-vetted AWS data engineers who build secure, scalable, and cloud-native data systems from day one.
Shortlist in 48 hours. Onboarding in 5–10 days.
Operates across
Industries We Support for AWS Data Engineer Hiring
Benchkart powers modern engineering across diverse global sectors.
BFSI & FinTech
Healthcare
commerce
Manufacturing
SaaS
Logistics
Telecom
Hospitality
FAQs
1. What does an AWS Data Engineer do?
They build cloud-native data lakes, ETL/ELT pipelines, streaming flows, warehouses, and analytics systems using AWS services.
2. Which AWS tools are essential for Data Engineers?
Glue, EMR, S3, Redshift, Athena, Lambda, Step Functions, Kinesis, CloudWatch, and Terraform.
3. Is AWS suitable for enterprise data workloads?
Yes, AWS is a global leader for big data, analytics, streaming, data warehousing, and real-time pipelines.
4. How much does it cost to hire an AWS Data Engineer in India?
Typical rates range from $25–$60 per hour, depending on expertise with Spark, ETL, and cloud architecture.
5. Can Benchkart provide a shortlist in 48 hours?
Yes, AI-driven matching ensures rapid turnaround.
6. Can I hire an entire AWS data engineering team?
Absolutely, including data engineers, data architects, DevOps, BI engineers, and QA.
7. Do AWS Data Engineers work in international time zones?
Yes, overlapping US/UK/EU/ME hours can be arranged as needed.
8. Do you support migration from on-prem or Hadoop to AWS?
Yes, including S3 data lake builds, EMR modernization, and Redshift-based DWH migration.
9. How do you ensure AWS data security and compliance?
Through IAM governance, encryption, VPC isolation, logging, lineage tracking, and SLA-based delivery.
10. Why hire AWS Data Engineers from Benchkart?
You gain access to elite Indian AWS data talent enhanced with AI vetting, governed delivery, 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