Key Responsibilities

- Test Automation Architecture & Strategy Data pipelines (batch and streaming)

- APIs and backend services
- Data Testing Framework Engineering SQL based assertions and reconciliation
- Schema validation and evolution checks
- Break Systems Proactively (Destructive Testing Mindset) Schema drift and backward incompatibility
- Late arriving data and partial failures
- ETL and Streaming Validation at Scale Row, aggregate, and hash based reconciliation Incremental and backfill validation
- Data Quality & Observability Integration Excellent Expectations, Soda
- Accuracy, completeness, uniqueness, timeliness
- CI/CD & DataOps Enforcement Pre merge gates and release blockers
- Selective and parallel test execution
- Test Data Management Synthetic data generation Masking and anonymization
- Performance & Reliability Testing Pipeline and query performance benchmarks

- Concurrency and stress testing
- Security & Compliance Validation PII or PHI exposure





- Encryption and access control
- Cross Functional Quality Leadership Work with data engineers, platform teams, and architects to embed quality early
- Challenge poor design decisions that impact reliability
- Incident Analysis & Prevention Analyze production data issues and failure patterns
- Reduce flaky tests and false alarms

- Mandatory Skills
- Programming & Framework Development

- Data Engineering Ecosystem
- Data Quality & Observability

- Streaming Systems
- CI/CD & DevOps
- Cloud & Infrastructure

- Desired Skills
- Experience with API contract testing and tools like PACT
- Basic UI automation for end to end validation
- Exposure to data mesh or data product architectures
- Experience 5+ years in automation or quality engineering
- 3+ years building frameworks for data platforms at scale

📌 Data Testing (Bengaluru)
🏢 Virtusa
📍 Bengaluru