Teams at Metova, Inc.

Design and maintain scalable automated testing frameworks for web applications, REST APIs, and AI-powered solutions. Develop regression, BDD, performance, and API tests using tools such as Playwright, Selenium, Karate, or Gatling. Integrate quality automation into Azure DevOps CI/CD pipelines, collaborate with engineering teams, and improve software quality practices. Evaluate AI-generated outputs and apply testing approaches to LLMs, AI agents, and agentic workflows.

Designs, develops, and supports enterprise-scale ETL/ELT pipelines and data warehouse solutions using Ab Initio, Snowflake, Azure, SQL, Python, and shell scripting. Responsibilities include metadata and lineage management, dimensional and Data Vault modeling, data quality validation, CI/CD, production troubleshooting, and batch, real-time, file-based, and API integrations. The role supports healthcare data domains such as claims, membership, providers, health plans, and benefits.

Analyze and design enterprise healthcare data solutions using Snowflake and advanced SQL. Perform data profiling, reconciliation, anomaly detection, source-to-target validation, and quality testing across claims, membership, provider, and health plan data. Support data architecture, dimensional modeling, governance, metadata, lineage, cataloging, and MDM initiatives. Prepare data for AI and advanced analytics, translate business requirements into solutions, resolve data issues with stakeholders, and communicate actionable insights while following security and HIPAA requirements.