Remote Cloud Data Engineer — AWS Pipelines & Redshift

BairesDev; Antioquia; Presencial; COP 275.668.000 - 398.187.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD salary

Home equipment provided

Flexible hours

Paid parental leave

Global team

Descripción de la vacante

BairesDev, a global technology company, is seeking a Cloud Data Engineer to design and build scalable, automated data systems in a 100% remote role. You will transform raw data into actionable insights and ensure the reliability of data pipelines and warehouses using AWS-native services.

You will work with Python, SQL, and IaC tools (Terraform or CloudFormation), collaborate with cross‑functional teams, and help maintain data quality, security, and governance across the data stack.

Formación

• 4+ years of experience in Data Engineering or Cloud Engineering.
• Proficiency with AWS-native data services such as Glue, Lambda, and S3.
• Strong SQL and Python for data transformation and analysis.

Responsabilidades

• Design, implement, and manage automated end-to-end data pipelines using AWS Glue, Lambda, and Kinesis.
• Build and optimize data warehouses and storage solutions leveraging Redshift and S3.
• Develop scalable ETL processes and data transformations using Python, SQL, and Infrastructure as Code.
• Automate cloud infrastructure provisioning and lifecycle management using Terraform or CloudFormation.
• Ensure data reliability, security, and quality through monitoring and governance frameworks.
• Collaborate with cross-functional teams to define data requirements and deliver scalable solutions.

Conocimientos

AWS data pipelines

Python

SQL

Terraform

CloudFormation

Data Warehouses

ETL

English

Herramientas

AWS Glue

AWS Lambda

Kinesis

Redshift

S3

Descripción del empleo

BairesDev, a global technology company, is seeking a Cloud Data Engineer to design and build scalable, automated data systems in a 100% remote role. You will transform raw data into actionable insights and ensure the reliability of data pipelines and warehouses using AWS-native services.

You will work with Python, SQL, and IaC tools (Terraform or CloudFormation), collaborate with cross‑functional teams, and help maintain data quality, security, and governance across the data stack.