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 Great 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

9+ years in automation or quality engineering

5+ years building frameworks for data platforms at scale

📌 Senior Consultant (España)
🏢 Virtusa
📍 España