Job Title: Senior Data Engineer (Earnix)
Key Skills: Azure Databricks, dbt, Python, PySpark, SQL, Delta Lake, Unity Catalog, Azure, CI/CD, Data Engineering, Earnix
Experience: 7+ YOE.
Location: Costa Rica, Peru, Colombia, Bolivia
Mode: Remote
We at Coforge are hiring Senior Data Engineer (Earnix) (#006fu00000cVkwnAAC-1) with the following skill set.
Key Responsibilities
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Design, develop, and optimize production-grade data pipelines and governed data products using Azure Databricks, dbt, Python/PySpark, SQL, and Delta Lake.
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Build conformed Silver and Gold data models for rating factors, model inputs, quote versions, policy premiums, and other insurance pricing and rating data.
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Implement scalable Lakehouse engineering practices, including data quality, observability, monitoring, governance with Unity Catalog, and performance optimization.
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Collaborate with pricing, actuarial, underwriting, Data Science, BI, Architecture, and Quality Engineering teams while providing technical leadership through design reviews, code reviews, and mentoring.
Required Skills & Qualifications
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7+ years of Data Engineering experience, including strong recent experience with enterprise Databricks platforms.
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Strong production experience with Azure Databricks, Spark, Delta Lake, Workflows/Jobs, Databricks SQL, and platform optimization.
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Advanced hands-on experience with dbt models, macros, tests, documentation, incremental patterns, and CI/CD integration.
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Strong Python and PySpark skills for transformations, reusable frameworks, integrations, validation, and automated testing.
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Advanced SQL skills, including query optimization, data reconciliation, and analytical data modeling.
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Strong experience with enterprise ELT/ETL, batch pipelines, incremental processing, data quality, and production support.
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Practical experience with Unity Catalog or comparable data governance, lineage, and access-control capabilities.
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Experience with CI/CD, Git, automated deploymen
📌 Senior Data Engineer (Perú)
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