Remote AWS Data Engineer - Build Scalable Pipelines

BairesDev; Distrito Capital; Remote; VES 87,642,000 - 131,464,000; Full time

Benefits offered by this job

Remote work 100%

USD compensation or local currency

Home office setup provided

Flexible hours

Parental leave and holidays

Mentorship and growth opportunities

Job summary

BairesDev is seeking an AWS Data Engineer to design and operate scalable ETL/ELT pipelines on AWS, focusing on Glue and Redshift. You will implement data cataloging, observability, and QA practices to ensure reliable data assets across the organization.

The role demands strong Python skills and 5+ years in data engineering, with a global, remote-first work environment offering competitive USD compensation.

Qualifications

• 5+ years of experience in data engineering.
• Strong experience with ETL/ELT development.
• Hands-on experience with AWS, including Glue and Redshift.
• Experience with data cataloging using Collibra or similar tools.
• Proficiency in Python.
• Experience with observability and monitoring for data pipelines.
• Background in data QA.
• Advanced proficiency in English.

Responsibilities

• Build and maintain ETL/ELT pipelines on AWS using Glue and Redshift.
• Implement data cataloging practices to ensure data assets are discoverable and well-governed.
• Set up observability and monitoring across AWS-based data pipelines.
• Conduct data QA to ensure accuracy and reliability of data assets.

Skills

Data engineering

ETL/ELT design

Observability

Data QA

English proficiency

Tools

AWS

Glue

Redshift

Collibra

Job description

BairesDev is seeking an AWS Data Engineer to design and operate scalable ETL/ELT pipelines on AWS, focusing on Glue and Redshift. You will implement data cataloging, observability, and QA practices to ensure reliable data assets across the organization.

The role demands strong Python skills and 5+ years in data engineering, with a global, remote-first work environment offering competitive USD compensation.