Data Engineer - Remote

Overview

The Data Engineer will design, develop, and maintain scalable data pipelines, ensuring efficient data processing and integrity.

In Short

• Design, develop, and maintain scalable data pipelines using Airflow.
• Create and optimize tables in Athena for performance and cost-effectiveness.
• Write and manage SQL transformations in DBT.
• Optimize data workflows for reliability and efficiency.
• Automate infrastructure provisioning using Terraform.
• Ensure data integrity through monitoring and validation.
• Collaborate with analytics and engineering teams for data solutions.

Requirements

• 1.5+ years of experience in data engineering focusing on ELT processes.
• Expertise in Python, SQL, data modeling, and performance optimization.
• Hands-on experience with Airflow DAGs.
• Experience with DBT for data transformations.
• Understanding of AWS S3 and data lake architectures.
• Familiarity with Terraform for infrastructure automation is a plus.

Benefits

• Strong analytical and problem-solving skills.
• Attention to detail.
• Supportive team environment focused on common goals.
• Opportunities for professional growth and adaptation.