Lingaro

SDET

• Define the testing approach and identify quality risks
• Drive quality improvements across the team
• Design and maintain automated tests covering UI, APIs, and integrations
• Build scalable and maintainable automation frameworks
• Improve test reliability and coverage
• Test databases and data using SQL and Databricks
• Validate ETL processes, data pipelines, and data quality
• Work with Microsoft Azure environments
• Use Git and participate in code reviews
• Integrate automated tests into CI/CD pipelines
• Use AI tools for test creation, analysis, debugging, and testing efficiency

Test Automation Engineer

Business Analyst

• Drive continuous process improvement initiatives to meet business needs
• Facilitate requirements workshops and stakeholder interviews to gather, analyze, and define business requirements and current-state processes
• Translate business requirements into detailed functional specifications, user stories, and testable acceptance criteria
• Govern requirements to keep them current, aligned, and consistent at all levels
• Map business processes, data flows, and source-to-target or source-to-report relationships
• Define KPI measures, formulas, dimensions, filters, exception rules, and data-quality rules
• Document and maintain data catalogs, business glossaries, and metadata
• Advise clients and stakeholders on optimal solutions meeting business requirements
• Lead UAT planning, test-case preparation, defect triage, and business sign-off
• Coordinate user participation in testing, deployment, and implementation activities

Data Engineer

• Maintain and develop comprehensive Data Engineering platforms
• Build scalable, reusable solutions deployable across multiple countries and business environments
• Develop and maintain Data Engineering platforms using the AWS Native stack
• Design and implement generalized, reusable modules using modern Python practices
• Apply object-oriented programming principles to create maintainable and scalable data-processing solutions
• Collaborate within agile development teams to deliver high-quality solutions on schedule
• Identify root causes of issues in existing data and suggestion-generation pipelines
• Implement robust fixes by debugging AWS Step Functions, Glue, Athena, and Lambda
• Use modern Python development tools and engineering practices to ensure code quality, testing, and deployment efficiency

Test Automation Engineer

Business Analyst

Senior AWS Data Engineer