AI Developer & Automation Tester – Document Intelligence

Virtusa

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