As a Cloud Data Engineer, you will design and build scalable, automated data systems using AWS‑native services.

You will facilitate the transformation of raw data into actionable insights, ensuring the reliability and performance of the organization's data pipelines and warehouses.
What You'll Do

Design, implement, and manage automated end‑to‑end data pipelines using AWS Glue, Lambda, and Kinesis.
Build and optimize high‑performance data warehouses and storage solutions leveraging Amazon Redshift and S3.
Develop scalable ETL processes and data transformations using Python, SQL, and Infrastructure as Code.
Automate cloud infrastructure provisioning and lifecycle management using Terraform or Cloud

Formation.
Ensure data reliability, security, and quality through robust monitoring and governance frameworks.
Collaborate with cross‑functional teams to define data requirements and deliver efficient, scalable solutions.

What We Are Looking For

4+ years of experience in Data Engineering or Cloud Engineering.




Proven expertise in building and maintaining data pipelines using AWS‑native services like Glue, Lambda, and S3.
Proficiency in designing and managing cloud‑based data warehouses specifically with Amazon Redshift.
Hands‑on experience with Infrastructure as Code using Terraform or Cloud

Formation.
Strong proficiency in SQL and Python for data transformation and analysis.
Advanced proficiency in English.

Benefits

100% remote work (from anywhere).
Excellent compensation in USD or your local currency if preferred.
Hardware and software setup for you to work from home.
Versátil hours: create your own schedule.
Paid parental leaves, vacations, and national holidays.
Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
Supportive environment with mentorship, promotions, skill development, and divers

📌 Cloud Data Engineer - Remote Work (Chile)
🏢 BairesDev
📍 Chile