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Lead Data Engineer

Encora10

Peru (Latin America) Remote permanent

Posted: May 8, 2026

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Quick Summary

Lead Data Engineer with expertise in Snowflake, Azure Databricks and DBT, responsible for leading a team and driving migration strategy.

Job Description

Job Title: Lead Data Engineer

Key Skills: Snowflake, Azure Databricks, DBT, Terraform, SQL, ETL/ELT, Azure Cloud, CI/CD, Data Migration, Data Architecture

Experience: +8 YOE.

Location Peru

Mode: Remote

We at Coforge are hiring Position (#20978) with the following skill set.

Key Responsibilities

• Lead and mentor a team of data engineers, ensuring best practices and high-quality deliverables.

• Own and drive the end-to-end migration strategy from Snowflake on AWS to Azure Databricks and DBT.

• Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure.

• Design and implement Infrastructure-as-Code solutions using Terraform and manage CI/CD workflows.

• Collaborate with cross-functional stakeholders to align data initiatives with business and technical goals.

Required Skills & Qualifications

• 8+ years of experience in Data Engineering, including leadership or technical lead experience.

• Strong hands-on expertise with Snowflake, Azure Databricks, and DBT.

• Deep experience with Terraform and cloud infrastructure automation.

• Proven experience leading large-scale cloud data migration projects, preferably AWS to Azure.

• Advanced proficiency in SQL, data modeling, and ETL/ELT frameworks.

• Strong understanding of scalable data architecture and performance optimization.

• Experience with CI/CD pipelines and Git-based version control.

• Mandatory experience within the insurance industry and knowledge of insurance data domains.

• Excellent communication, stakeholder management, and leadership skills.

• Ability to work effectively in fast-paced and collaborative environments.

Preferred Skills:

• Experience with data governance and observability frameworks.

• Knowledge of security and compliance standards related to insurance or financial data.

• Familiarity with Kafka, Event Hubs, or real-time data processing solutions.

• Experience designing lakehouse architectures and cost-optimization strategies.

• Exposure to multi-cloud environments and advanced automation practices.

Posted On: 8-05-26

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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