AWS Data Engineer

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

📋 Description

• Development and maintenance of ETL/ELT pipelines on AWS.

• Monitoring and troubleshooting of pipelines and AWS services.

• Management and assurance of the integrity of the Glue Data Catalog.

• Automation of data processing tasks.

• Close collaboration with the Data Lake team for efficient data solutions.

• Technical advisory in data management on AWS.

• Participation in defining the architecture for data solutions.

• Implementation of new technologies and cloud data services.

• Optimization of data processes in the AWS cloud.

• Ensuring efficiency, scalability, and security of data operations.

⛳️ Requirements

• Minimum of 3 years of experience working with AWS cloud.

• AWS Associate level certification.

• Knowledge of ETL tools.

• Experience with Data Warehousing (DWH) and Data Lakes.

• Proficiency in data manipulation languages, such as SQL, PySpark, and Python.

• Skills in orchestrating and automating workflows.

• Experience with DevOps practices.

• Proficiency in version control using Git.

• Experience with data visualization tools.

• Preferred: AWS Certified Data Engineer - Associate.

• Preferred: Apache Spark with AWS Glue and/or AWS Lambda.

• Preferred: Knowledge of AWS Lake Formation / AWS Redshift / Databricks.

• Preferred: Experience with AWS Step Functions.

• Preferred: Knowledge of Infrastructure as Code (IaC) using AWS CloudFormation.

• Preferred: Experience with Amazon Quicksight.

🏝️ Benefits

• 100% remote and flexible work arrangement from anywhere in the world.

• Full coverage for AWS certifications.

• Free learning platform to enhance your knowledge.

• 15 business days per year for rest and rejuvenation.

• Birthday off.

• Days off according to the national holiday calendar of your residing country.

• Special gifts to celebrate significant moments in your life.

• Extended parental leave.