Remote AWS Data Engineer – ETL/Redshift Expert

BairesDev

Chile

Remote

CLP 89,641,000 - 129,482,000

Full time

14 days+

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Benefits offered by this job

Remote work
Competitive USD salary
Home office setup
Flexible hours
Parental leave & holidays
Global Top 1% talent environment
Mentorship & career growth

Job summary

BairesDev is hiring a Data Engineer (AWS) to design and maintain scalable data pipelines in a fully remote, globally distributed team. You will connect raw data sources with analytical environments, ensuring secure, efficient data flow across the enterprise.

You should have 4+ years in data or cloud engineering, hands-on with AWS Glue, Redshift, S3, and infrastructure as code tools like Terraform or CloudFormation. Strong SQL and Python, plus excellent English, are essential.

Qualifications

  • 4+ years of experience in Data Engineering or Cloud Engineering.
  • Proven expertise with AWS-native data services (Glue, Kinesis).
  • Experience designing data warehouses on Redshift.
  • Hands-on with IaC tools (Terraform or CloudFormation).
  • Strong SQL and Python for data transformation.
  • Advanced proficiency in English.

Responsibilities

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

Skills

SQL
Python
English
ETL/ELT design
Data modeling

Tools

AWS Glue
Kinesis
Amazon Redshift
S3
Terraform
CloudFormation

Job description

BairesDev is hiring a Data Engineer (AWS) to design and maintain scalable data pipelines in a fully remote, globally distributed team. You will connect raw data sources with analytical environments, ensuring secure, efficient data flow across the enterprise.

You should have 4+ years in data or cloud engineering, hands-on with AWS Glue, Redshift, S3, and infrastructure as code tools like Terraform or CloudFormation. Strong SQL and Python, plus excellent English, are essential.

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