Hire Top Data Quality / Data Validation Engineers in India!
Years of experience
Customer satisfaction
What Makes Benchkart a Great Partner for Hiring Data Quality / Data Validation Engineers?
Benchkart blends AI-driven talent intelligence, a deep vendor ecosystem, and Avance Group’s governance to deliver enterprise-grade data validation with unmatched accuracy and reliability.
Security-First Delivery
Data integrity controls, governed access, compliance-aligned validation workflows, and enterprise SLAs.
Proven Talent Network
DQ engineers sourced from our bench, passive network, and 2,000+ vetted data-engineering partners.
Growth-Driven Engineering
Engineers focused on high-quality data delivery, automated validation, reconciliation, lineage verification, and process reliability.
Cutting-Edge Tech Stack
Developers bring hands-on expertise in:
Proficiency in Great Expectations
dbt tests
AWS/Azure/GCP DQ frameworks
Informatica DQ
Talend DQ
Python
SQL
pytest
Airflow, and metadata platforms
Services We Offer
End-to-End Data Quality Framework Development
Automated Data Validation Pipelines
Data Reconciliation & Consistency Checks
Metadata, Lineage & Governance Integration
DQ for Cloud Data Platforms
Data Quality Monitoring & Reporting
Expertise of Our Data Quality / Data Validation Engineers
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Data completeness & consistency checks
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Pattern & anomaly detection
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Rule-based and statistical profiling
Roles & Responsibilities: Engineers analyze datasets to identify gaps, inconsistencies, and anomalies. They build quality baselines, define validation rules, profile data sources, and ensure alignment with governance and analytical requirements.
Source-to-target reconciliation
Schema validation
Transformation logic verification
Roles & Responsibilities: They validate ETL logic, ensure correct transformations, verify lineage, perform reconciliation checks, and guarantee that migrated or transformed data matches expected business logic.
Snowflake, BigQuery, Redshift DQ patterns
ADF, Glue, Dataflow integration
Airflow DQ orchestration
Roles & Responsibilities: Engineers embed DQ rules into cloud-native pipelines, design scalable quality checks, integrate serverless validation logic, and ensure reliable data flows across distributed systems.
Catalog integration
DQ documentation
Rule versioning & audit controls
Roles & Responsibilities: They document transformation logic, validate lineage flows, enforce governance standards, maintain metadata accuracy, and align DQ processes with compliance frameworks.
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DQ dashboards
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Alerts & notifications
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SLA tracking & remediation workflows
Roles & Responsibilities: Engineers build real-time dashboards, define quality KPIs, implement automated alerts, manage exceptions, and ensure that DQ issues are escalated and resolved quickly and precisely.
How We Hire Developers
With a structured multi-stage hiring process, we onboard only high-calibre Data Quality & Validation Engineers.
Skill Benchmarking
Thorough CV & background evaluation
Human Vetting
Interview with HR specialist
Experience Validation
Communication & soft-skills assessment
Cultural Fit
Technical interview with Senior DQ Architect
Hire Developers from Benchkart
STEP 1 Inquiry
We understand your data sources, DQ requirements, governance frameworks, target platforms, and quality SLAs.
STEP 2 Developer Selection
AI-matched DQ engineers curated from our bench, vetted partners, and passive specialist networks.
STEP 3 Integration
Engineers integrate with your ETL teams, governance groups, BI analysts, and cloud platforms.
STEP 4 Scaling
Scale your DQ program as your data landscape evolves with Benchkart ensuring governance and continuity.
Choose the Right Development Model for Your Business
Flexible models designed for enterprise-grade data quality initiatives.
DQ Team Augmentation
Add skilled Data Quality Engineers to accelerate your validation roadmap.
Dedicated Data Quality & Validation Squad
A specialized team dedicated to DQ, governance, profiling, lineage, and reconciliation.
Full Data Quality Outsourcing
We handle rule creation → automation → monitoring → reporting → continuous improvement.
Top Reasons to Choose Benchkart for Data Quality Engineer Hiring
Quality + speed + governance built for enterprise delivery.
Built on Avance Group’s Talent Engine
AI-driven identification of DQ specialists backed by enterprise governance.
Unmatched Speed 48-Hour Shortlists
Receive curated Data Quality Engineer profiles within 48–72 hours.
Massive Vendor Ecosystem 2000+ Strong
India’s deepest network of data engineering and governance specialists.
Wisestep ATS + CRM Skill-First Precision
AI ranks DQ engineers based on SQL depth, Python skills, governance knowledge, and validation experience.
Bench-Ready Data Quality Engineers
Experts in Great Expectations, dbt test frameworks, Informatica DQ, Talend DQ, Python, SQL, cloud DQ automation, and reconciliation workflows.
Governed Delivery with Enterprise SLAs
Quality gates, rule governance, lineage documentation, validation SLAs, and continuity assurance.
Backed by Avance Group Global Trust
Operating across 14+ countries with extensive experience in data quality and governance programs.
Need a Dedicated Data Quality Engineering Team?
Hire pre-vetted Data Quality Engineers who ensure accuracy, trust, and reliability across your data ecosystem.
Shortlist in 48 hours. Onboarding in 5–10 days.
Operates across
Industries We Support for Data Quality / Data Validation Engineer Hiring
Benchkart supports DQ initiatives across major, data-intensive industries.
BFSI & FinTech
Healthcare
E-commerce
Manufacturing
SaaS
Logistics
Telecom
Hospitality
FAQs
1. What does a Data Quality / Data Validation Engineer do?
They ensure data accuracy, completeness, consistency, and reliability across pipelines, warehouses, and reporting systems.
2. Which tools do DQ Engineers commonly use?
Great Expectations, dbt test, Informatica DQ, Talend DQ, Python, SQL, Airflow, cloud validation frameworks.
3. How much does it cost to hire a Data Quality Engineer in India?
Typically $20–$45 per hour, depending on domain expertise and automation experience.
4. Do DQ Engineers support cloud data platforms?
Yes, including Snowflake, BigQuery, Redshift, Synapse, Databricks, and cloud-native ETL tools.
5. Do they handle source-to-target reconciliation?
Absolutely, including schema validation, row/column checks, and transformation logic verification.
6. Can Benchkart deliver DQ engineers in 48 hours?
Yes, curated shortlists are typically available within 48–72 hours.
7. Do they work with governance teams?
Yes, collaboration with metadata, lineage, compliance, and business teams is central.
8. Can I hire a full DQ team?
Yes, including automation engineers, governance analysts, and validation specialists.
9. How do they ensure continuous data quality?
Through automated tests, dashboards, threshold alerts, and SLA-driven monitoring.
10. Why hire DQ engineers from Benchkart?
You gain access to vetted experts backed by AI-driven matching, governed delivery, and enterprise-grade oversight.
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