Important Information:
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Years of Experience: 7+ years
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Job Mode: Full-time
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Work Mode: Remote within Mexico
Job Summary:
We are seeking a highly experienced Software Development Engineer in Test (19742) with a strong background in data quality, analytics testing, and data engineering validation within the insurance 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 idóneo candidate demonstrates technical leadership, continuous improvement, and strong collaboration with engineering and business stakeholders.
Responsibilities and Duties:
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Develop and maintain end-to-end dbt testing frameworks, including mocked and expected datasets across bronze, silver, and gold layers.
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Define, implement, and maintain dbt models, unit tests, end-to-end tests, and custom test cases.
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Analyze engineering and analytics requirements to determine appropriate testing scope and strategies.
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Collaborate closely with business stakeholders, Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment.
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Gain a deep understanding of the Hiscox repositories, tools, and workflows, including VSCode, pytest, dbt, Databricks, Git, Docker, and CI/CD processes.
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Investigate failed tests, perform root cause analysis, and support defect resolution.
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Review pull requests to ensure adherence to testing standards and data quality best practices.
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Actively participate in Agile ceremonies, providing quality insights and recommendations.
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Identify opportunities for process optimization, automation, and efficiency improvements while aligning quality efforts to business value.
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Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.
Qualifications and Skills:
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7+ years of experience in Quality
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