Job Title: Senior Big Data Tester Location: Lisbon Work Regime: Hybrid (2x office) Step into a dynamic ecosystem where the future of business is created and lived every day.
Be part of it!
At LUZA Group, passion, perseverance, and the drive to excel define our path to success.
Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a turnover surpassing 30M.
With a strong presence in key marketsPortugal, Spain, Morocco, Brazil, Mexico, the United States, and Chinawe deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment.
Our people and their talent power everything we do.
This is a moment of growth and opportunity.
The future belongs to visionary minds.
Will you join us?
Overview / Summary: We are looking for a Senior Big Data Tester to join our company in a banking based project.
Requirements At least 7 years of experience in testing, automation, and data quality assurance.
Strong expertise in the dbt framework, including building and optimizing automated test suites.
Experience with data mapping, modeling, and end-to-end validation processes.
Proficiency in exploratory, integration, and exception handling testing.
Strong collaboration and communication skills to work with developers, analysts, and end users.
Familiarity with UAT/BAT processes and post-deployment monitoring.
Responsibilities Implement Shift Left testing practices within the dbt ecosystem.
Participate in requirements gathering sessions and contribute to data mapping and modeling sheets by collaborating closely with BAs, Data Modelers, and End Users.
Understand technical project/release goals and end-user needs to derive test coverage and scenarios.
Collaborate with developers to build automated test suites within the dbt framework, including built-in assertions and custom-developed test cases.
Regularly review automated test suites to optimize test coverage, identify gaps/redundancies, and maintain requirements traceability to automated test cases.
Execute test cases not covered by dbt test suites, including integration, negative/failover, and exception handling tests, as well as exploratory testing when needed.
Ensure the delivery of high-quality code by continuously validating and assuring automated test case designs and output validations.
Provide feedback to developers on slow-running queries or inefficient transformations to optimize performance.
Coordinate and support UAT (User Acceptance Testing) and BAT (Business Acceptance Testing) phases.
Contribute to monitoring practices by suggesting metrics or threshold alerts based on user feedback post-deployment, ensuring data quality in production.
Support dbt and UAT implementation rollouts across multiple projects in the data estate, including: Requirement analysis and reviewing data mapping, HLDs (High-Level Designs), and LLDs (Low-Level Designs) to identify gaps.
Developing test plans and approaches for efficient release delivery.
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