Senior AWS Data Engineer - Remote & Flexible Hours

BairesDev; Antioquia; A distancia; COP 291.290.000 - 485.484.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD or local currency pay

Hardware provided

Flexible hours

Paid parental leave

Mentorship & growth

Descripción de la vacante

At BairesDev®, a global technology leader with 15+ years in delivering cutting-edge solutions, we offer 100% remote roles and work with top clients worldwide. We are seeking a Senior AWS Data Engineer to re-engineer an ingestion and lakehouse platform, automating retention, compaction, and recovery while introducing publish gates and automated recovery to ensure reliable data pipelines.

The ideal candidate has 5+ years in AWS data engineering, strong Iceberg and Glue ETL experience, Python

Formación

• 5+ years of data engineering with AWS.
• Experience managing Apache Iceberg tables.
• Experience with AWS Glue ETL.
• Proficiency in Python.
• Experience with Kafka.
• Strong ability to read and re-engineer existing systems.
• Advanced English proficiency.

Responsabilidades

• Re-engineer ingestion and lakehouse code across Lambda, Glue, EventBridge, and Step Functions.
• Manage Apache Iceberg tables in the Gold zone with retention/compaction strategy.
• Redesign recovery processes to automate restores.
• Introduce write-audit-publish patterns to prevent bad writes.
• Collaborate with Kafka on MSK for end-to-end pipeline processing.

Conocimientos

AWS Data Engineering

Apache Iceberg

AWS Glue ETL

Python

Kafka

Code archaeology

English proficiency

Herramientas

Kafka on MSK

Descripción del empleo

At BairesDev®, a global technology leader with 15+ years in delivering cutting-edge solutions, we offer 100% remote roles and work with top clients worldwide. We are seeking a Senior AWS Data Engineer to re-engineer an ingestion and lakehouse platform, automating retention, compaction, and recovery while introducing publish gates and automated recovery to ensure reliable data pipelines.

The ideal candidate has 5+ years in AWS data engineering, strong Iceberg and Glue ETL experience, Python