Important Information:Years of Experience:7+ yearsJob Mode:Full-timeWork Mode:Remote within MexicoJob Summary:
We are seeking a highly experiencedSoftware Development Engineer in Test******) with a strong background indata quality, analytics testing, and data engineering validationwithin theinsurance industry.
This role focuses on ensuring high-quality data across modern data platforms by defining, implementing, and maintaining robust testing strategies across the full data lifecycle—from raw ingestion to curated analytical layers.
The adecuado candidate demonstrates technical leadership, continuous improvement, and strong collaboration with engineering and business stakeholders.Responsibilities and Duties:Develop and maintainend-to-end dbt testing frameworks , including mocked and expected datasets across bronze, silver, and gold layers.Define, implement, and maintaindbt 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 withbusiness stakeholders , Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment.Gain a deep understanding of theHiscox 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 inAgile ceremonies , providing quality insights and recommendations.Identify opportunities forprocess 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.Qualifications and Skills:7+ years of experience inQuality Engineering , with a strong focus on data-centric testing.Proven experience working within theinsurance industry(required).
Strong understanding ofdata warehousing concepts , ETL processes, and BI platforms.Solid knowledge oftesting strategies , theTest Pyramid , and version control systems.Proficiency inSQLand scripting languages such asPython.Excellent communication, collaboration, and stakeholder management skills.Demonstrated ability to drivecontinuous improvementacross technology, processes, and people.Strong leadership skills with experience guiding teams and influencing quality standards.Role-specific Requirements:Hands-on experience designing and executingdata validation strategiesacross 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.Technologies:dbtDatabricksPytestSQLPythonGitDockerVSCodeBI tools (Power BI, Tableau – nice to have)Cloud environments (AWS, Azure, or GCP – nice to have)Skillset Competencies:Data Quality & ValidationEnd-to-End Data TestingTest Strategy & AutomationAnalytical ThinkingLeadership & MentorshipCross-functional CollaborationContinuous Improvement MindsetBusiness Value AwarenessAbout Encora:
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, Dev Sec Ops, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

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