Key ResponsibilitiesTest Automation Architecture & Strategy Data pipelines (batch and streaming) APIs and backend servicesData Testing Framework Engineering SQL based assertions and reconciliation Schema validation and evolution checksBrake Systems Proactively (Destructive Testing Mindset) Schema drift and backward incompatibility Late arriving data and partial failuresETL and Streaming Validation at Scale Row, aggregate, and hash-based reconciliation Incremental and backfill validationData Quality & Observability Integration Great Expectations, Soda Accuracy, completeness, uniqueness, timelinessCI/CD & Data Ops Enforcement Pre merge gates and release blockers Selective and parallel test executionTest Data Management Synthetic data generation Masking and anonymizationPerformance & Reliability Testing Pipeline and query performance benchmarks,



Concurrency and stress testingSecurity & Compliance Validation PII or PHI exposure, Encryption and access controlCross Functional Quality Leadership Work with data engineers, platform teams, and architects to embed quality early, Challenge poor design decisions that impact reliabilityIncident Analysis & Prevention Analyze production data issues and failure patterns, Reduce flaky tests and false alarmsMandatory SkillsData Quality & ObservabilityDesired SkillsExperience with API contract testing and tools like PACTBasic UI automation for end-to-end validation.Exposure to data mesh or data product architectures

📌 Automation Engineer (Barcelona)
🏢 PURVIEW
📍 Barcelona