Senior Data Engineer

Job Title: Senior Data Engineer

Key Skills: Azure Databricks, dbt, Python, SQL, Terraform, CI/CD, Data Pipelines, ETL/ELT, Lakehouse, Azure

Experience: 5–8+ years of experience.

Location: Costa Rica, Peru, Colombia, Bolivia.

Mode: Remote.

We at Coforge are hiring Senior Data Engineer (#22301) with the following skill set.

Key Responsibilities

· Design, build, and maintain scalable data pipelines and dbt models on Azure Databricks, delivering reliable Silver and Gold data layers for analytics and business consumption.

· Develop and manage Infrastructure as Code using Terraform while implementing CI/CD pipelines, monitoring, logging, and automated deployments.

· Ensure high data quality by implementing validation frameworks, reconciliation checks, observability, and production support to meet pipeline SLAs.

· Mentor junior engineers through code reviews, engineering best practices, and technical guidance while contributing to reusable components and platform documentation.

Required Skills & Qualifications

· 5–8+ years of experience in Data Engineering within enterprise or large-scale data environments.

· Strong hands-on experience with Azure Databricks, dbt, Python, and SQL.

· Proven experience designing, building, and supporting production-grade ETL/ELT pipelines with monitoring, alerting, and incident resolution.

· Strong understanding of data modeling, distributed data systems, and Lakehouse architectures.

· Hands-on experience with Terraform and Infrastructure as Code (IaC).

· Experience implementing CI/CD pipelines and Git-based version control.

· Knowledge of data quality, testing, and observability frameworks such as dbt tests, Great Expectations, or equivalent.

· Experience processing large-scale, terabyte-level datasets on enterprise data platforms.

· Strong analytical, troubleshooting, and communication skills.

· Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent professional experience).

Preferred Skills:

· Experience with Azure AI Search, Lakebase, or Databricks serving capabilities.

· Knowledge of real-time and streaming technologies such as Kafka, Event Hubs, or Delta Live Tables.

· Experience in insurance or financial services environments.

· Experience optimizing cloud performance and costs.

· Familiarity with Snowflake-to-Databricks migrations, Lakebridge, or cloud migration initiatives.

Posted On: 17-07-2026

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