Remote AWS Data Engineer: Glue, Redshift & Observability

BairesDev

Región Metropolitana de Santiago

Remote

CLP 88,063,000 - 136,986,000

Full time

5 days ago
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Benefits offered by this job

100% remote work
Competitive USD compensation
Home office hardware provided
Flexible hours
Paid parental leave and holidays
Mentorship and career growth
Diverse, multicultural environment

Job summary

BairesDev in Chile offers a fully remote AWS Data Engineer role focused on building and governing cloud-native data pipelines. You will design ETL/ELT processes on AWS, use Glue and Redshift, implement data cataloging with Collibra, and ensure observability and QA across data assets.

The position requires strong Python skills and English proficiency. Join a global, remote-friendly team and enjoy flexible hours, competitive USD compensation, and a supportive environment with mentorship and growth

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.
  • 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

ETL/ELT design
AWS data engineering
Python
Observability
Data QA
Data cataloging
English proficiency
Redshift knowledge

Tools

AWS Glue
Redshift
Collibra

Job description

BairesDev in Chile offers a fully remote AWS Data Engineer role focused on building and governing cloud-native data pipelines. You will design ETL/ELT processes on AWS, use Glue and Redshift, implement data cataloging with Collibra, and ensure observability and QA across data assets.

The position requires strong Python skills and English proficiency. Join a global, remote-friendly team and enjoy flexible hours, competitive USD compensation, and a supportive environment with mentorship and growth

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