Lead Data Software Engineer - Java, Azure & Databricks

EPAM Systems; México; Presencial; MXN 900.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

LinkedIn learning access

English classes with teacher

Flexible work schedule

Multicultural environment

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 technologies. You will lead data-driven software initiatives, architect cloud-based applications, and mentor engineers in a collaborative, global environment.

The role emphasizes leadership, hands-on coding with Java/SQL, and building robust data pipelines with Databricks. A strong focus on quality, performance, and scalable architectures is expected.

Formación

• 5+ years of experience in data software engineering.
• Proficiency in Java and SQL.
• Expertise in Microsoft Azure and Databricks.

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

Leadership

Mentoring

English (B2)

Herramientas

Azure

Databricks

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 technologies. You will lead data-driven software initiatives, architect cloud-based applications, and mentor engineers in a collaborative, global environment.

The role emphasizes leadership, hands-on coding with Java/SQL, and building robust data pipelines with Databricks. A strong focus on quality, performance, and scalable architectures is expected.