Lead Data Engineer (Java + AWS) | Scale Pipelines & Mentorship

EPAM Systems

Chile

Presencial

CLP 6.000.000 - 10.000.000

Jornada completa

hace 8 horas
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Ventajas ofrecidas por este puesto de trabajo

Improved medical coverage
Lunch Allowance
Internet and electricity allowance
National Holiday Bonus
Christmas Bonus
Learning Culture
Additional Income

Descripción de la vacante

EPAM Systems seeks a Lead Data Software Engineer (Java+AWS) to drive design and delivery of robust data solutions. You will lead technical initiatives, collaborate with cross-functional teams and ensure successful implementation of scalable data platforms.

The role emphasizes building scalable data pipelines, optimizing cloud storage and processing, and maintaining high code quality through reviews and best practices.

Formación

  • 5+ years of experience in data software engineering.
  • Proficiency in Java and SQL.
  • Expertise in Amazon Web Services and Databricks.
  • English proficiency at B2 level or higher.

Responsabilidades

  • Lead the design and development of data-driven software solutions.
  • Architect scalable data pipelines and processing workflows.
  • Collaborate with stakeholders to translate business requirements into technical deliverables.
  • Provide technical leadership and mentorship to engineering team members.
  • Ensure code quality through reviews, best practices and standards enforcement.
  • Optimize data storage and processing performance across cloud environments.
  • Drive integration of data platforms with existing systems.
  • Troubleshoot and resolve complex technical issues.
  • Communicate effectively with international teams and stakeholders.

Conocimientos

Java
SQL
AWS
Databricks
English Proficiency (B2+)

Descripción del empleo

EPAM Systems seeks a Lead Data Software Engineer (Java+AWS) to drive design and delivery of robust data solutions. You will lead technical initiatives, collaborate with cross-functional teams and ensure successful implementation of scalable data platforms.

The role emphasizes building scalable data pipelines, optimizing cloud storage and processing, and maintaining high code quality through reviews and best practices.

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