BranchFactor Summary

The original posting with the fluff stripped out

Compensation

No salary listed for this role.

Role speciality

Data EngineeringInsurance Pricing and Rating

Useful technologies

AzureAzure DatabricksDataikudbtDelta LakeEarnixEvent HubsFastAPIGitKafkaMLflowPower BIPySparkPythonREST APIsSparkSQLTerraformUnity Catalog

Original posting

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

Design, develop, and optimize production-grade data pipelines and governed data products using Azure Databricks, dbt, Python/PySpark, SQL, and Delta Lake.
Build conformed Silver and Gold data models for rating factors, model inputs, quote versions, policy premiums, and other insurance pricing and rating data.
Implement scalable Lakehouse engineering practices, including data quality, observability, monitoring, governance with Unity Catalog, and performance optimization.
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

7+ years of Data Engineering experience, including strong recent experience with enterprise Databricks platforms.
Strong production experience with Azure Databricks, Spark, Delta Lake, Workflows/Jobs, Databricks SQL, and platform optimization.
Advanced hands-on experience with dbt models, macros, tests, documentation, incremental patterns, and CI/CD integration.
Strong Python and PySpark skills for transformations, reusable frameworks, integrations, validation, and automated testing.
Advanced SQL skills, including query optimization, data reconciliation, and analytical data modeling.
Strong experience with enterprise ELT/ETL, batch pipelines, incremental processing, data quality, and production support.
Practical experience with Unity Catalog or comparable data governance, lineage, and access-control capabilities.
Experience with CI/CD, Git, automated deployments, peer reviews, and environment promotion for data products.
Strong Azure experience, including cloud storage, identity, security, and integration patterns.