SDET

MexicoFull-TimeMid-levelOther

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Develop and maintain end-to-end dbt testing frameworks, including mocked and expected datasets across bronze, silver, and gold layers.
Define, implement, and maintain dbt models, unit tests, end-to-end tests, and custom test cases.
Analyze engineering and analytics requirements to determine appropriate testing scope and strategies.
Collaborate closely with business stakeholders, Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment.
Gain a deep understanding of the repositories, tools, and workflows, including VSCode, pytest, dbt, Databricks, Git, Docker, and CI/CD processes.
Investigate failed tests, perform root cause analysis, and support defect resolution.
Review pull requests to ensure adherence to testing standards and data quality best practices.
Actively participate in Agile ceremonies, providing quality insights and recommendations.
Identify opportunities for process optimization, automation, and efficiency improvements while aligning quality efforts to business value.
Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.

Analyze engineering and analytics requirements to determine appropriate testing scope and strategies.

Investigate failed tests, perform root cause analysis, and support defect resolution.
Review pull requests to ensure adherence to testing standards and data quality best practices.

Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.

7+ years of experience in Quality Engineering, with a strong focus on data-centric testing.
Proven experience working within the insurance industry (required).
Strong understanding of data warehousing concepts, ETL processes, and BI platforms.
Solid knowledge of testing strategies, the Test Pyramid, and version control systems.
Proficiency in SQL and scripting languages such as Python.
Excellent communication, collaboration, and stakeholder management skills.
Demonstrated ability to drive continuous improvement across technology, processes, and people.
Strong leadership skills with experience guiding teams and influencing quality standards.

Strong leadership skills with experience guiding teams and influencing quality standards.

Hands-on experience designing and executing data validation strategies across complex data pipelines.
Ability to translate business and analytical requirements into effective testing solutions.
Experience supporting enterprise-scale data platforms with a strong emphasis on data accuracy, reliability, and compliance.
Comfortable working in fast-paced, Agile environments.

Ability to translate business and analytical requirements into effective testing solutions.
Experience supporting enterprise-scale data platforms with a strong emphasis on data accuracy, reliability, and compliance.
Comfortable working in fast-paced, Agile environments.

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.