Remote Cloud Data Engineer: AWS Pipelines & Redshift

BairesDev

Distrito Capital

Presencial

VES 75.821.000 - 117.944.000

Jornada completa

hace 30 horas
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Ventajas ofrecidas por este puesto de trabajo

100% remote work
USD or local currency compensation
Hardware and software setup for home
Flexible hours
Paid parental leave and holidays
Multicultural global team
Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking a Cloud Data Engineer to design and build scalable, automated data systems using AWS-native services. You will transform raw data into insights while ensuring reliability and performance of data pipelines and warehouses.

Join a global remote team and work on high-impact projects with major tech partners. You will leverage SQL, Python, and IaC tools to deliver scalable data solutions and governance across the organization.

Formación

  • 4+ years of experience in Data/Cloud Engineering
  • Proven expertise with AWS-native data services like Glue, Lambda, and S3
  • Experience building data pipelines and data warehouses with Redshift
  • Proficiency in SQL and Python
  • Advanced English proficiency

Responsabilidades

  • Design, build, and manage automated end-to-end data pipelines on AWS
  • Develop data warehouses using Redshift and S3
  • Create scalable ETL processes and data transformations
  • Implement IaC with Terraform or CloudFormation
  • Ensure data reliability, security, and governance
  • Collaborate with cross-functional teams to define data requirements

Conocimientos

SQL
Python
Advanced English
Data pipelines
ETL

Herramientas

AWS Glue
AWS Lambda
AWS Kinesis
Amazon Redshift
S3
Terraform
CloudFormation

Descripción del empleo

BairesDev is seeking a Cloud Data Engineer to design and build scalable, automated data systems using AWS-native services. You will transform raw data into insights while ensuring reliability and performance of data pipelines and warehouses.

Join a global remote team and work on high-impact projects with major tech partners. You will leverage SQL, Python, and IaC tools to deliver scalable data solutions and governance across the organization.

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