Remote AWS Data Engineer — Pipelines, Redshift & IaC

BairesDev; Antioquia; A distancia; COP 282.672.000 - 408.304.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work 100%

Competitive USD salary

Home setup provided

Flexible hours

Paid parental leave

Mentorship & growth

Descripción de la vacante

BairesDev, a global software services company, is seeking an AWS Data Engineer to design and maintain scalable data pipelines and data warehousing on AWS, turning raw data into actionable insights while ensuring performance of the cloud data platform.

You will work with Glue, Redshift, S3, Lambda, and Kinesis, implementing IaC with Terraform or CloudFormation. Strong Python and SQL skills and English proficiency are required.

Formación

• 4+ years of experience in Data Engineering, Cloud Engineering, or related fields.
• Proven expertise building data pipelines with AWS-native services (Glue, EMR, Lambda).
• Strong skills in Python and SQL for complex data transformations.
• Experience with infrastructure as code tools (Terraform or CloudFormation).

Responsabilidades

• Design and implement automated ETL pipelines using AWS Glue, Lambda, and Kinesis.
• Develop and optimize data warehouses with Amazon Redshift and S3.
• Manage IaC to ensure reproducible data environments using Terraform or CloudFormation.
• Write high-performance data transformation logic in Python and SQL.
• Collaborate with technical teams to maintain data quality, security, and scalability.

Conocimientos

AWS

ETL pipelines

Python

SQL

English proficiency

Herramientas

Terraform

CloudFormation

AWS Glue

Lambda

Kinesis

Redshift

S3

Descripción del empleo

BairesDev, a global software services company, is seeking an AWS Data Engineer to design and maintain scalable data pipelines and data warehousing on AWS, turning raw data into actionable insights while ensuring performance of the cloud data platform.

You will work with Glue, Redshift, S3, Lambda, and Kinesis, implementing IaC with Terraform or CloudFormation. Strong Python and SQL skills and English proficiency are required.