Lead Data Engineer: Azure, Databricks & Java Leader

EPAM Systems; Argentina; Vor Ort; ARS 1.800.000 - 2.400.000; Vollzeit

Benefits dieser Stelle

Connectivity Bonus

Medicina Prepaga

Paternity Leave

Discounts card

English Training

Training Program

Marriage bonus

Referral Program

External Agreements and Discounts

Vacations: 14 calendar days a year

Zusammenfassung

EPAM Systems is seeking a Lead Data Software Engineer in Argentina to guide the design and development of scalable data solutions using Java and Azure. You will mentor engineers, architect data applications, and drive delivery across data pipelines and analytics platforms.

Responsibilities include leading technical initiatives, collaborating with cross-functional teams, and maintaining code quality through reviews and best practices while improving development processes and architecture in a

Qualifikationen

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

Aufgaben

• 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 teams.
• Collaborate with cross-functional teams to define technical requirements.
• Ensure code quality through reviews, best practices and testing.
• Troubleshoot and resolve complex issues across the data platform.
• Drive continuous improvement of development processes and architecture.

Kenntnisse

Java

SQL

Leadership

English (B2+)

Tools

Azure

Databricks

Jobbeschreibung

EPAM Systems is seeking a Lead Data Software Engineer in Argentina to guide the design and development of scalable data solutions using Java and Azure. You will mentor engineers, architect data applications, and drive delivery across data pipelines and analytics platforms.

Responsibilities include leading technical initiatives, collaborating with cross-functional teams, and maintaining code quality through reviews and best practices while improving development processes and architecture in a