Hire Top DataOps Engineers in India!
Years of experience
Customer satisfaction
What Makes Benchkart a Great Partner for Hiring DataOps Engineers?
Benchkart blends AI-driven talent intelligence, a deep vendor ecosystem, and Avance Group’s governance to deliver secure, automated, cloud-ready DataOps engineering with unmatched speed and reliability.
Security-First Delivery
DataOps Engineers follow strict governance around pipeline access, secrets management, cloud credentials, CI/CD workflows, and production data handling.
Proven Talent Network
We source SME-vetted DataOps Engineers from cloud data engineering partners, analytics consulting firms, and enterprise-grade data teams, ensuring only high-quality DataOps talent reaches your shortlist.
Growth-Driven Engineering
Engineers focus on reliability, observability, automation, and continuous improvement, enabling scalable and resilient data delivery.
Cutting-Edge Tech Stack
Developers bring hands-on expertise in:
Expertise across Kubernetes
Airflow
dbt
Databricks
Snowflake
Terraform
CI/CD platforms
cloud orchestration
monitoring
lineage, and data quality tools
Services We Offer
Data Pipeline Automation and Orchestration
CI/CD for Data Engineering
Data Platform Operations and Monitoring
Data Quality, Testing and Governance
Cloud Data Platform Enablement
Infrastructure as Code and Environment Management
EXPERTISE OF OUR DATAOPS ENGINEERS
-
Airflow DAGs and event-driven workflows
-
ADF, Glue, Databricks Jobs, and BigQuery orchestration
-
Dependency and schedule management
Roles and Responsibilities: DataOps Engineers automate and optimize end-to-end data workflows, ensuring predictable, scalable, and reliable pipeline execution.
GitOps workflows and branching strategies
CI/CD for dbt, SQL scripts, notebooks, and ML pipelines
Automated testing, validation, and rollback
Roles and Responsibilities: They bring DevOps rigor into data teams, ensuring consistent build, test, and deployment of data code.
Monitoring with Datadog, Prometheus, Grafana, and CloudWatch
Data quality enforcement using Great Expectations, Soda, and dbt
Lineage using OpenLineage, Collibra, Atlan, and Alation
Roles and Responsibilities: Engineers implement observability across data processes to detect failures early and maintain reliable SLAs.
-
Snowflake warehouses, roles, and cost optimization
-
Databricks clusters, Delta Lake pipelines, and Unity Catalog
-
BigQuery datasets, partitions, governance, and security
Roles and Responsibilities: They operate and optimize cloud data platforms for performance, security, and cost efficiency.
Terraform, CloudFormation, ARM templates, and Pulumi
Automated provisioning of data infrastructure and pipelines
Secrets management using Vault, AWS Secrets Manager, and Azure Key Vault
Roles and Responsibilities: DataOps Engineers build reusable infrastructure patterns supporting scalable and governed data ecosystems.
-
Working with data engineers, analysts, ML, and DevOps teams
-
Maintaining SOPs, runbooks, and deployment documentation
-
Leading reliability improvements and automation initiatives
Roles and Responsibilities: They ensure stable production operations, proactive improvements, and strong cross-team collaboration.
How We Hire Developers
With a structured multi-stage hiring process, we onboard only high-calibre DataOps Engineers.
Skill Benchmarking
Thorough CV and DataOps background evaluation
Human Vetting
Interview with HR specialist
Experience Validation
Communication & soft-skills assessment
Cultural Fit
Technical interview with senior DataOps or platform lead
Hire Developers from Benchkart
STEP 1 Inquiry
We understand your data stack, cloud environment, automation goals, and DataOps maturity.
STEP 2 Selection
AI-matched DataOps Engineer profiles curated from bench, partners, and our passive data operations talent network.
STEP 3 Integration
Engineers integrate seamlessly into your cloud, data engineering, and DevOps workflows.
STEP 4 Scaling
Scale DataOps capacity as pipelines grow, platforms evolve, and business demand increases.
Choose the Right Development Model for Your Business
Team Augmentation
Extend your engineering capacity by adding DataOps specialists skilled in orchestration, CI/CD, and cloud operations.
Dedicated DataOps Engineer Squad
A team owning pipeline automation, observability, data platform operations, and reliability roadmaps.
Full DataOps Outsourcing
End-to-end enablement including orchestration, monitoring, CI/CD, infrastructure as code, governance, and ongoing support.
TOP REASONS TO CHOOSE BENCHKART FOR DATAOPS ENGINEER HIRING
Quality + speed + governance built for enterprise delivery.
Built on Avance Group’s Global Talent Engine
AI-driven vetting and enterprise-governed delivery for modern DataOps engineering.
Unmatched Speed 48-Hour Shortlists
Receive curated DataOps Engineer profiles within 48 to 72 hours.
Massive Vendor Ecosystem 2000+ Strong
Access India’s deepest DataOps and cloud data talent network.
Wisestep ATS + CRM Skill-First Precision
AI ranks talent by automation depth, cloud expertise, CI/CD maturity, observability skill, and delivery quality.
Bench-Ready DataOps Engineers
Skilled across orchestration, CI/CD, cloud platforms, data quality, monitoring, and governance.
Governed Delivery with Enterprise SLAs
Quality gates, operational governance, dashboards, and continuity frameworks.
Backed by Avance Group Global Trust
Operating across 13+ countries with nearly two decades of delivery excellence.
Need a Dedicated DataOps Engineer Team?
Hire pre-vetted DataOps Engineers who automate pipelines, improve reliability, and scale your cloud data platform from day one.
Shortlist in 48 hours. Onboarding in 5–10 days.
Operates across
Industries We Support for DataOps Engineer Hiring
Our DataOps Engineers support data-driven transformation across industries that depend on accurate, governed, and highly automated data delivery.
Banking & Financial
Healthcare
E-commerce
Manufacturing
Logistics
Energy & Utilities
Telecom
Professional services
FAQs
1. What does a DataOps Engineer do?
They automate, orchestrate, monitor, and optimize data pipelines while ensuring governance, quality, and operational reliability across modern cloud data platforms.
2. Which tools do your DataOps Engineers specialize in?
Airflow, dbt, Databricks, Snowflake, BigQuery, Azure Data Factory, AWS Glue, Terraform, CI/CD platforms, and data quality and observability tools.
3. How is DataOps different from Data Engineering?
Data Engineering builds pipelines, while DataOps operationalizes them through automation, CI/CD, monitoring, governance, and reliability engineering.
4. Do you support end-to-end DataOps transformation?
Yes, including orchestration, CI/CD enablement, infrastructure as code, monitoring, lineage, governance, and platform operations.
5. Do DataOps Engineers support machine learning workflows?
Yes, including MLOps-enabled pipelines, feature store orchestration, and model deployment automation.
6. How quickly can I hire a DataOps Engineer?
A curated shortlist is delivered within 48 hours.
7. Can DataOps Engineers improve existing pipelines?
Absolutely, including performance tuning, CI/CD enablement, and reliability improvements.
8. Do your DataOps Engineers support multi-cloud environments?
Yes, across AWS, Azure, GCP, and hybrid environments.
9. Is monitoring and alerting included?
Yes, engineers implement alerting, lineage tracking, observability dashboards, and structured error handling.
10. What if a DataOps Engineer is not the right fit?
Benchkart provides rapid, SLA-backed replacements to ensure uninterrupted 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