Remote Data Engineer — Cloud Pipelines & Spark

BairesDev

Comisión de Fomento de Perú

Remote

ARS 136,430,000 - 227,383,000

Full time

33 hours ago
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Benefits offered by this job

Remote work
USD compensation
Hardware setup for remote work
Flexible hours
Parental leave

Job summary

BairesDev is seeking a Data Engineer to join our fully remote team. You will own end-to-end data solutions from design to production, building scalable pipelines and enabling global decision-making with high-quality data. You'll work with AWS Glue/Databricks, Spark, Delta Lake, and Python, collaborating across disciplines.

Excellent English and a passion for clean code and reliable data are essential. We offer 100% remote work, USD compensation, flexible hours, and strong mentorship in a diverse

Qualifications

  • 5+ years of total experience in Data Engineering.
  • 3+ years with AWS Glue or Databricks.
  • 3+ years with Spark.
  • 2+ years with Delta Lake.
  • 5+ years with Python for ETL and automation.
  • Advanced proficiency in English.

Responsibilities

  • Design and implement scalable data pipelines using cloud tools.
  • Develop and optimize distributed processes in Spark for large data volumes.
  • Manage and maintain Delta Lake tables with schema evolution.
  • Write and maintain clean, modular Python code for ETL and automation.
  • Collaborate with cross-functional teams to translate business needs into reliable data solutions.

Skills

Data pipelines design
Python scripting
English proficiency
Distributed processing

Tools

AWS Glue
Databricks
Spark
Delta Lake
Python

Job description

BairesDev is seeking a Data Engineer to join our fully remote team. You will own end-to-end data solutions from design to production, building scalable pipelines and enabling global decision-making with high-quality data. You'll work with AWS Glue/Databricks, Spark, Delta Lake, and Python, collaborating across disciplines.

Excellent English and a passion for clean code and reliable data are essential. We offer 100% remote work, USD compensation, flexible hours, and strong mentorship in a diverse

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