Senior Data Engineer (Earnix)

Encora; Comisión de Fomento de Perú; Remoto; ARS 136.428.000 - 227.380.000; Tempo pieno

Descrizione del lavoro

Coforge is hiring a Senior Data Engineer to design, build, and optimize production data pipelines using Azure Databricks, dbt, Python/PySpark, SQL, and Delta Lake. This role focuses on delivering conformed data models for pricing and rating data in a remote setting.

You will collaborate with pricing, actuarial, underwriting, Data Science, BI, Architecture, and QA teams, providing technical leadership, code reviews, and mentoring while ensuring data quality and governance across the platform.

Competenze

• 7+ years of data engineering experience with enterprise Databricks platforms.
• Strong Azure Databricks, Spark, Delta Lake, and Databricks tools experience.
• Advanced Python and PySpark for transformations, testing and pipelines.
• Expert SQL with optimization, data modeling, and reconciliation.
• Experience with CI/CD, Git, and automated deployments in data teams.
• Knowledge of Unity Catalog or comparable governance and access-controls.
• Experience with Earnix or other pricing engines is a plus.

Mansioni

• Design and optimize production data pipelines and data products on Azure Databricks, dbt, Python/PySpark, SQL, and Delta Lake.
• Build conformed Silver and Gold models for pricing data, quotes, policies, and premiums.
• Implement lakehouse patterns with data quality, observability, governance (Unity Catalog), and performance tuning.
• Collaborate with pricing, actuarial, underwriting, Data Science, BI, Architecture, and QA teams while providing technical leadership through reviews and mentoring.

Conoscenze

Azure Databricks

Python

PySpark

SQL

CI/CD

Data modeling

Git

Unity Catalog

Strumenti

Delta Lake

dbt

Spark

Databricks SQL

Terraform

Power BI

Earnix integration

Descrizione del lavoro

Experience: 7+ YOE.

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.

Proven ownership of production data pipelines from design through deployment, monitoring, and incident resolution.

Preferred Skills:

Experience with insurance pricing, policies, quotes, premiums, rating factors, underwriting, or actuarial data.

Experience integrating with Earnix or another enterprise pricing/rating engine.

Experience with Dataiku, MLflow, or governed machine‑learning workflows.

Knowledge of Kafka, Event Hubs, streaming patterns, FastAPI, REST APIs, or low‑latency data services.

Experience with Power BI and Terraform.

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.