Lead Data Engineer: Azure, Databricks & Mentorship

EPAM Systems; Colombia; Presencial; COP 120.000.000 - 240.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning culture

Health coverage

Vision benefit

Life insurance

Medical leave coverage

Professional growth

Stock purchase plan

Additional income

Global community

Descripción de la vacante

EPAM Systems is seeking a Lead Data Software Engineer to drive the design and development of scalable data solutions using Java and Microsoft Azure. You will architect data-driven applications, build robust Databricks pipelines, and lead a talented engineering team in delivering high-quality analytics-aware software.

Ideal candidates have 5+ years in data software engineering, strong Java/SQL, Azure and Databricks expertise, and the ability to mentor peers.

Formación

• 5+ years of experience in data software engineering.
• Strong Java and SQL proficiency.
• Expertise in Microsoft Azure and Databricks.
• Ability to lead technical initiatives and mentor team members.
• English proficiency at B2 level or higher.

Responsabilidades

• Lead the design and development of data-driven software solutions.
• Architect scalable applications using Java and Azure cloud services.
• Build and optimize data pipelines and workflows in Databricks.
• Write efficient SQL queries to support data processing and analytics.
• Provide technical leadership and mentorship to engineering team members.
• Collaborate with cross-functional teams to define technical requirements and deliverables.
• Ensure code quality through reviews, best practices and testing standards.
• Troubleshoot and resolve complex technical issues across the data platform.
• Drive continuous improvement of development processes and architecture.

Conocimientos

Java

SQL

Azure

Databricks

Leadership

English (B2+)

Descripción del empleo

EPAM Systems is seeking a Lead Data Software Engineer to drive the design and development of scalable data solutions using Java and Microsoft Azure. You will architect data-driven applications, build robust Databricks pipelines, and lead a talented engineering team in delivering high-quality analytics-aware software.

Ideal candidates have 5+ years in data software engineering, strong Java/SQL, Azure and Databricks expertise, and the ability to mentor peers.