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Senior SDET (Earnix)

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Summary

Senior SDET designing end-to-end test automation for Databricks/dbt data pipelines, Delta Lake tables, and insurance pricing data integrated with the Earnix pricing engine. Remote role across Latin America requiring 7+ years in quality engineering with Python, PyTest, SQL, PySpark, and CI/CD quality gates.

Job Title: Senior SDET (Earnix)

Key Skills: Databricks, dbt, Python, PyTest, SQL, Test Automation, Data Quality, Delta Lake, PySpark, CI/CD, Earnix

Experience: 7+ YOE.

Location: Costa Rica, Peru, Colombia, Bolivia

Mode: Remote

We at Coforge are hiring Senior SDET - Earnix (#006fu00000cVkwnAAC-2) with the following skill set.

Key Responsibilities

  • Define and implement end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs, and downstream analytical products.

  • Build maintainable automation frameworks using Python, PyTest, SQL, and dbt tests, validating Bronze-to-Silver-to-Gold transformations through reconciliation, accuracy, integrity, completeness, and business-rule testing.

  • Test pricing and rating data, including rating factors, model inputs, quote versions, premium calculations, and integrations with pricing or rating platforms such as Earnix.

  • Embed automated quality gates into CI/CD pipelines, investigate defects, support root-cause analysis, define quality metrics, and promote shift-left testing and data-quality best practices.

Required Skills & Qualifications

  • 7+ years of experience in Quality Engineering or Test Automation, including substantial experience testing enterprise data platforms.

  • Strong hands-on experience testing Databricks pipelines, Spark workloads, Delta tables, jobs/workflows, and Lakehouse data products.

  • Advanced experience with dbt testing, including custom tests, source freshness, model validation, documentation, and CI/CD quality gates.

  • Strong Python automation skills, including PyTest, reusable test utilities, test-data generation, and pipeline/API validation.

  • Advanced SQL skills for complex validation, source-to-target reconciliation, defect analysis, and data-quality investigation.

  • Strong knowledge of data-quality testing, including completeness, accuracy, uniqueness, integrity, timeliness, schema, and business-rule validation.

  • Experience designing enterprise test automation frameworks covering unit, integration, regression, end-to-end, and release validation.

  • Strong experience with CI/CD, Git, automated test execution, quality gates, and version-controlled test assets.

  • Working knowledge of ELT/ETL, PySpark, data modeling, incremental loads, orchestration, and production support.

  • Strong analytical, communication, defect-triage, and stakeholder-management skills.

Preferred Skills:

  • Experience testing insurance pricing, policy, quote, premium, rating-factor, underwriting, or actuarial data.

  • Experience with Earnix or other enterprise pricing/rating engines.

  • Experience with REST/API contract, performance, scalability, resilience, and low-latency testing.

  • Knowledge of Unity Catalog, Dataiku, MLflow, Power BI, or data-quality frameworks such as Great Expectations, Soda, or Deequ.

Posted On: 12-10-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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