Remote Data Engineer - AWS Pipelines & Data Warehouse

BairesDev; Colombia; Presencial; COP 286.250.000 - 413.473.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive salary

Home setup provided

Flexible hours

Parental leave

Global team

Mentorship & growth

Descripción de la vacante

BairesDev is seeking a Data Engineer (AWS) to design and maintain scalable data pipelines using AWS-native services. You will bridge raw data sources with analytics environments, ensuring secure and efficient data flows.

Join a global, 100% remote team delivering impactful solutions across industries. Requirements include 4+ years in data or cloud engineering, strong SQL/Python, and excellent English.

Formación

• 4+ years of experience in Data Engineering or Cloud Engineering.
• Proficiency in SQL and Python for data transformation and automation.
• Experience with AWS-native services like Glue and Kinesis.
• Experience with Terraform or CloudFormation.
• Strong English communication.

Responsabilidades

• Design, build, and optimize scalable ETL/ELT pipelines using AWS Glue, Lambda, and Python.
• Develop and maintain data warehouse architectures on Amazon Redshift and data lakes on S3.
• Automate data workflows and infrastructure provisioning with IaC tools.
• Implement data models and partitioning to improve query performance and cost-efficiency.
• Ensure data quality and reliability through automated validation checks and monitoring.
• Collaborate with stakeholders to translate business requirements into technical data solutions.

Conocimientos

SQL

Python

English

Data modeling

ETL/ELT

Herramientas

AWS Glue

AWS Kinesis

Redshift

S3

Terraform

CloudFormation

Descripción del empleo

BairesDev is seeking a Data Engineer (AWS) to design and maintain scalable data pipelines using AWS-native services. You will bridge raw data sources with analytics environments, ensuring secure and efficient data flows.

Join a global, 100% remote team delivering impactful solutions across industries. Requirements include 4+ years in data or cloud engineering, strong SQL/Python, and excellent English.