Remote Data Engineer | Spark, Delta Lake & AWS

BairesDev; Comisión de Fomento de Perú; Remote; ARS 184.618.000 - 276.927.000; Vollzeit

Benefits dieser Stelle

100% remote work

USD or local currency compensation

Hardware & software setup for home

Flexible hours

Paid parental leaves and vacations

Mentorship and growth opportunities

Zusammenfassung

BairesDev is seeking an experienced Data Engineer for a fully remote role. You will design and build scalable data pipelines using modern cloud-native tools, empowering thousands of users with high-quality data across the organization.

In this role you will own end-to-end data solutions, work with Spark, Delta Lake, and Python, and collaborate with cross-functional teams to translate business needs into reliable data products.

Qualifikationen

• 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.

Aufgaben

• Design and implement scalable data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in Apache Spark for large volumes of data.
• Manage and maintain Delta Lake tables, ensuring integrity, versioning, and 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.

Kenntnisse

Python for ETL

Apache Spark

Delta Lake

AWS Glue or Databricks

Data Pipeline Design

English proficiency

Tools

Databricks

AWS Glue

Delta Lake

SQL

Data Cataloging

Jobbeschreibung

BairesDev is seeking an experienced Data Engineer for a fully remote role. You will design and build scalable data pipelines using modern cloud-native tools, empowering thousands of users with high-quality data across the organization.

In this role you will own end-to-end data solutions, work with Spark, Delta Lake, and Python, and collaborate with cross-functional teams to translate business needs into reliable data products.