Teams at Atlas Systems

QA Specialist responsible for designing and executing QA strategies for Power BI reports and Microsoft Fabric data pipelines. Validate front-end report functionality, query SQL backends for data accuracy, automate testing (Playwright and pipeline tests), document test cases, track quality metrics, and collaborate with developers and data engineers to resolve data issues and ensure consistent reporting between legacy and Fabric environments.

Leads AI-assisted software delivery while combining business analysis, Scrum Master responsibilities, and hands-on technical leadership. Translates business needs into requirements, user stories, technical designs, and production solutions. Facilitates Agile ceremonies, manages dependencies, mentors developers, reviews code, and contributes to APIs, integrations, UI components, testing, CI/CD, and deployment automation. Ensures secure, responsible AI use, traceability, production readiness, stakeholder alignment, and measurable delivery improvements.

Develop and maintain secure, interactive data applications on Databricks using Python, Streamlit or Dash. Build user interfaces, connect to governed data through Databricks SQL and Unity Catalog, integrate REST APIs, and implement secure coding practices. Create tests, manage Git-based deployment workflows, troubleshoot production issues, document solutions, and collaborate with data, platform, security, and business teams. The role also involves SQL optimization, data governance, application performance, and responsible use of AI-assisted development tools.