Lead Data Platform Engineer (Java + Azure)

EPAM Systems

Mexico

On-site

PHP 3,320,000 - 4,795,000

Full time

14 days+

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Benefits offered by this job

Career growth
LinkedIn Learning access
English classes
Flexible schedule
Multicultural environment
Employee stock purchase plan
13% employee savings fund
Major medical insurance

Job summary

EPAM Systems is seeking a Lead Data Software Engineer to spearhead the design and development of data-driven software solutions. You will architect scalable applications using Java and Azure services, and you will build and optimize data pipelines and workflows in Databricks.

The role requires leadership capabilities, strong SQL skills, and expertise in Azure and Databricks, with English proficiency at B2 level or higher.

Qualifications

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

Responsibilities

  • 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.

Skills

Leadership
Java
SQL
English B2

Tools

Azure
Databricks

Job description

EPAM Systems is seeking a Lead Data Software Engineer to spearhead the design and development of data-driven software solutions. You will architect scalable applications using Java and Azure services, and you will build and optimize data pipelines and workflows in Databricks.

The role requires leadership capabilities, strong SQL skills, and expertise in Azure and Databricks, with English proficiency at B2 level or higher.

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