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 alarmsMandatory 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 #J-18808-Ljbffr