Hire Top Big Data Engineers in India!
Years of experience
Customer satisfaction
What Makes Benchkart a Great Partner for Hiring Big Data Engineers?
Benchkart blends AI-driven talent intelligence, a deep vendor ecosystem, and Avance Group’s governance to deliver world-class big data engineering with unmatched reliability and speed.
Security-First Delivery
Enterprise-grade NDAs, secure data movement, role-based access, and governed delivery frameworks.
Proven Talent Network
Big Data Engineers sourced from our bench, passive network, and 2,000+ vetted vendor partners.
Growth-Driven Engineering
Experts in distributed computing, scalable data pipelines, streaming systems, and long-term data platform evolution.
Cutting-Edge Tech Stack
Developers bring hands-on expertise in:
Expertise in Hadoop
Spark
Kafka
Hive
HBase
Presto
Flink
Airflow
Databricks
cloud big data services (AWS/Azure/GCP)
Python/Scala, and NoSQL databases
Services We Offer
Big Data Pipeline Development
Real-Time Streaming Architecture
Data Lake & Lakehouse Engineering
Data Warehouse & Analytics Integration
Big Data Platform Migration & Modernization
Monitoring, Tuning & Support
Expertise of Our Big Data Engineers
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PySpark, Scala Spark
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HDFS, YARN, MapReduce
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Hive, Impala, Presto
Roles & Responsibilities: Big Data Engineers design and optimize distributed pipelines, implement large-scale transformations, manage cluster resources, and ensure high-throughput batch processing with predictable performance.
Kafka, Kinesis, Event Hubs
Flink, Spark Streaming
Checkpointing, windowing, late events
Roles & Responsibilities:
They build real-time pipelines, implement event-driven architectures, tune streaming jobs, and ensure low-latency data flow for mission-critical analytics.
HBase, Cassandra, MongoDB
Delta Lake, Iceberg, Parquet, ORC
Partitioning, compaction, schema evolution
Roles & Responsibilities:
Engineers design scalable storage solutions, manage semi-structured/unstructured data, optimize file formats, and structure lakehouse layers for analytics readiness.
AWS EMR, Glue, Athena
Azure Databricks, Synapse
GCP Dataflow, Dataproc, BigQuery
Roles & Responsibilities:
They develop cloud-native pipelines, integrate managed services, optimize compute/storage consumption, and ensure reliability aligned with cloud best practices.
Airflow, Oozie, Luigi
Terraform, CloudFormation, Bicep
Git-based workflows, automated deployments
Roles & Responsibilities:
Big Data Engineers schedule workflows, implement dependency-driven jobs, automate environment provisioning, and enforce continuous integration and delivery pipelines.
Job tuning, incremental pipelines
Data validation, profiling, lineage
Monitoring dashboards, alerts, auto-healing
Roles & Responsibilities:
They tune jobs for stability and speed, implement DQ checks, document lineage, maintain observability dashboards, and guarantee high reliability for production workloads.
How We Hire Developers
With a structured multi-stage hiring process, we onboard only high-calibre Big 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 Big Data Architect
Hire Developers from Benchkart
STEP 1 Inquiry
We assess your data volumes, ingestion needs, streaming requirements, cloud platform, and architecture goals.
STEP 2 Developer Selection
AI-matched Big Data profiles curated from our bench, partners, and passive engineering network.
STEP 3 Integration
Engineers integrate into your cloud accounts, clusters, repos, orchestrators, and sprint cycles seamlessly.
STEP 4 Scaling
Scale your big data team effortlessly with governed delivery, continuity frameworks, and proactive account oversight.
Choose the Right Development Model for Your Business
Flexible engagement models for large-scale data platform engineering.
Big Data Engineering Team Augmentation
Rapidly add skilled engineers to boost delivery velocity.
Dedicated Big Data Engineering Squad
A focused, cross-functional big data team aligned to your roadmap.
Full Big Data Platform Outsourcing
We handle data architecture → pipelines → lakehouse → streaming → DevOps end-to-end.
Top Reasons to Choose Benchkart for Big Data Engineer Hiring
Quality + speed + governance built for enterprise delivery.
Top Reasons to Choose Benchkart for ETL Developer Hiring
AI-powered selection enhanced by enterprise-grade governance.
Unmatched Speed 48-Hour Shortlists
Receive curated Big Data Engineer profiles within 48–72 hours.
Massive Vendor Ecosystem 2000+ Strong
Access India’s deepest network of Hadoop, Spark, Kafka, and cloud big data talent.
Wisestep ATS + CRM Skill-First Precision
AI evaluates candidates by pipeline depth, Spark fluency, cloud platform expertise, and distributed system experience.
Bench-Ready Big Data Engineers
Experts in Spark, Kafka, Hive, HBase, Presto, Airflow, Databricks, and cloud-native big data services.
Governed Delivery with Enterprise SLAs
Quality gates, observability frameworks, risk mitigation, and continuity management.
Backed by Avance Group Global Trust
Operating across 14+ countries with long-standing enterprise delivery success.
Need a Dedicated Big Data Engineering Team?
Hire pre-vetted Big Data Engineers who build high-performance, scalable, and future-ready big data ecosystems from day one.
Shortlist in 48 hours. Onboarding in 5–10 days.
Operates across
Industries We Support for Big Data Engineer Hiring
Benchkart supports real-time and large-scale analytics across major industries.
BFSI & FinTech
Healthcare
E-commerce
Manufacturing
SaaS
Logistics
Telecom
Hospitality
FAQs
1. What does a Big Data Engineer do?
They design and build distributed data pipelines, streaming systems, lakehouse layers, and large-scale analytical workflows.
2. Which technologies do Big Data Engineers use?--
Spark, Hadoop, Kafka, Hive, Flink, Airflow, Databricks, and cloud big data services across AWS, Azure, and GCP.
3. How much does it cost to hire a Big Data Engineer in India?
Typically $30–$65 per hour, depending on cloud expertise and pipeline complexity.
4. Is Big Data engineering still relevant with modern cloud tools?
Yes, distributed compute and streaming remain essential for high-volume, real-time, and ML-driven analytics.
5. Can Benchkart provide Big Data Engineers within 48 hours?
Yes, most clients receive shortlists within 48–72 hours.
6. Can I hire a full Big Data engineering team?
Yes, including engineers, architects, DevOps, analytics engineers, and QA.
7. Do Big Data Engineers work in international time zones?
Yes, overlapping schedules with US, UK, EU, and ME clients are common.
8. Do you support Hadoop modernization projects?
Absolutely, including modernization to Spark, Databricks, and cloud-native architectures.
9. How do you ensure pipeline performance and reliability?
Through tuning, observability, lineage, retry strategies, and SLA-driven workflows.
10. Why hire Big Data Engineers from Benchkart?
You gain access to elite talent backed 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