MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US . We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India . Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Job Title: QA Engineer (Pleno/Senior Level)
Location: Remote
Employment Type: Fulltime
Pay Range: 9,300.00 BRL montlhy - 11,900/BRL
- Role Overview/Job Responsibilities
Job Description:
QA Engineer Web, API & Data Engineering (Spark/Scala + Databricks)
About the Role: We are seeking a QA Engineer who can validate complex end to end business flows across a multi layer architecture, including React UI, Java/Spring Boot APIs, Databricks Spark/Scala pipelines, MySQL, and Elasticsearch. The QA is responsible for testing business requirements and acceptance criteria, preparing smoke and regression test suites, and ensuring formal quality sign off.
Business Requirements & Acceptance Criteria Validation:
Analyze business requirements and user stories to extract testable acceptance criteria.
Create a Requirements Traceability Matrix (RTM) mapping requirements to test cases.
Validate each acceptance criterion through end to end scenario execution.
Document expected vs actual results with evidence.
Drive QA sign off with complete coverage reports. Web Application Testing
Test React UI for correctness, layout, responsiveness, and edge cases.
Validate backend APIs.
Perform functional, integration, regression, and end to end testing across UI API DB ES flows. Spark/Scala & Databricks Pipeline Testing
Validate Spark/Scala ETL transformations, joins, aggregations, and business rules.
Validate Delta Lake behavior across Bronze/Silver/Gold layers.
Check job dependencies, orchestration, schema evolution, and partition logic. Database Testing (MySQL)
Write SQL queries for data validation, integrity checks, transformations, and derived fields.
Validate Databricks loaded MySQL tables. Elasticsearch Testing
Validate index mappings, analyzers, document counts, and search accuracy.
Confirm MySQL ES synchronization. Azure Cloud Validation
Validate deployments on Azure App Services, Functions, Storage, and Key Vault.
Verify logs, configuration, telemetry, and environment settings. Test Strategy, Suites & Documentation
Create and maintain smoke test suites for critical path validation.
Develop regression suites covering all functional areas.
Maintain RTM, end to end flow documentation, test plans, and evidence.
Log defects with clear reproduction steps and supporting data.
Required Qualifications:
4 7 years of QA experience across web, API, and data engineering layers.
Strong UI, API, and data validation skills.
Experience validating Databricks Spark/Scala pipelines and Delta Lake.
Experience validating Elasticsearch indices and search behavior. Preferred Skills
Automation experience with Playwright/Cypress/Selenium or REST Assured/Karate.
Python or PySpark for large scale data validation.
Familiarity with Azure DevOps/GitHub Actions CI/CD validation.
Soft Skills:
Strong analytical and documentation skills.
Ability to work with cross functional teams.
High ownership and attention to detail.
MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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