Senior Data Engineer – Cloud, AWS

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, develop, and sustain scalable data pipelines and ETL/ELT processes within AWS cloud environments.

• Oversee and enhance data platforms utilizing services such as AWS Glue, Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM.

• Implement and manage workflows using Apache Airflow for extensive data processing and analytics.

• Construct and refine data warehouse solutions and business-oriented analytical models employing dbt, Spark, and SQL.

• Collaborate with cross-functional teams to create secure, scalable, and highly available data solutions.

• Assist with CI/CD pipelines and deployment automation for data platform workflows, particularly using CodeBuild, Jenkins, and GitHub Actions.

• Design and maintain lakehouse storage layers on S3 with Apache Iceberg and/or Delta Lake table formats.

• Administer AWS Glue Data Catalog, crawlers, and Lake Formation permissions to ensure data governance and access control.

⛳️ Requirements

• A minimum of 5 years of experience in data engineering, data platform, or cloud data engineering roles with a strong emphasis on AWS data services.

• Hands-on experience with AWS Glue (PySpark), Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM.

• Practical experience with Apache Airflow, including DAG development, scheduling, and multi-environment management.

• Experience in developing data warehouse solutions and business-focused analytics models using dbt, Spark, and SQL.

• Strong Python proficiency for creating ETL/ELT pipelines and automation tools.

• Knowledge of lakehouse architectures utilizing Apache Iceberg or Delta Lake on S3.

🏝️ Benefits

• Health insurance

• Professional development

• Flexible work arrangements