Lead Data Engineer - Python, AWS, Data Pipelines

EPAM Systems

Chile

Presencial

CLP 42.000.000 - 66.000.000

Jornada completa

hace 6 horas
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Ventajas ofrecidas por este puesto de trabajo

Medical coverage
Lunch allowance
Internet & electricity allowance
National holiday bonus
End of year bonus
Learning culture
Referral program
Relocation assistance

Descripción de la vacante

EPAM Systems in Chile seeks a Lead Data Software Engineer (Python+AWS) to drive design and development of scalable data solutions. You will lead technical initiatives, mentor team members and deliver robust data engineering systems leveraging cloud and big data technologies.

Responsibilities include building data pipelines, collaborating with cross-functional teams, ensuring code quality, and driving architectural decisions.

Formación

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

Responsabilidades

  • Lead the design and development of data engineering solutions
  • Build and maintain scalable data pipelines and processing workflows
  • Collaborate with cross-functional teams to gather and define technical requirements
  • Mentor and guide engineers across the team
  • Ensure code quality through reviews and best practices
  • Optimize performance and reliability of data platforms
  • Drive architectural decisions and technical roadmaps
  • Troubleshoot and resolve complex data and infrastructure issues
  • Communicate progress and technical concepts to stakeholders

Conocimientos

Python
SQL
AWS
Databricks
English (B2+)

Herramientas

Databricks

Descripción del empleo

EPAM Systems in Chile seeks a Lead Data Software Engineer (Python+AWS) to drive design and development of scalable data solutions. You will lead technical initiatives, mentor team members and deliver robust data engineering systems leveraging cloud and big data technologies.

Responsibilities include building data pipelines, collaborating with cross-functional teams, ensuring code quality, and driving architectural decisions.

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