Data Engineer (AWS) - REMOTE

Introduction & Summary

We are seeking a highly skilled Data Engineer with expertise in AWS and a minimum of 5 years of experience in Cloud environments. This role involves designing, developing, testing, and deploying data pipelines and platforms utilizing various AWS services. An in-depth understanding of various tools and their appropriate applications, along with strong analytical and problem-solving skills, is essential for success in this position.

Main Responsibilities

The Data Engineer will manage a variety of tasks to ensure the successful delivery of data solutions. Responsibilities include:

• Design, develop, test, and deploy data pipelines and data platforms using AWS services.

• Implement and maintain data lake, lake house, or data mesh architectures.

• Collaborate with data engineers, analysts, and DevOps teams to deliver business solutions.

• Ensure compliance with data governance, security, and records management policies.

• Troubleshoot and resolve data-related issues, supporting change management processes.

• Demonstrate ownership of projects from inception to delivery.

Key Requirements

• Minimum of 5+ years working experience in Cloud.

• Expertise in Spark/Scala.

• Strong proficiency in Python and SQL.

• AWS expertise in S3, Glue, Athena, EMR, EC2, and Lambda.

• Experience in ETL design and data modeling.

• Ability to learn and develop end-to-end knowledge of processes.

• Analytical thinking to anticipate edge cases and scalable issues.

• Strong problem-solving skills and attention to detail.

• Intermediate level of Spanish

Nice to Have

• Familiarity with CI/CD tools (e.g., GitHub Actions).

• Experience with Apache Iceberg or similar table formats.

• Exposure to data quality frameworks (e.g., Great Expectations, Deequ).

• Knowledge of Bash and HCL is a plus.

Other Details

This position may involve remote work and offers a dynamic, fast-paced environment focused on innovative data solutions.