DATAECONOMY

Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue and Python.
• Architect and implement efficient data pipeline workflows for ingesting, transforming, and loading large-scale datasets.
• Work with PostgreSQL / Aurora databases to manage data storage, transformation, and querying.
• Optimize ETL jobs and database queries to improve performance, reliability, and cost efficiency.
• Implement and maintain Infrastructure as Code (IaC) using Terraform for provisioning and managing cloud resources.
• Collaborate with data engineers, analysts, and application teams to deliver reliable data solutions.
• Monitor, troubleshoot, and improve pipeline reliability and scalability.
• Follow best practices for data governance, security, and performance in cloud environments.

Cloud Data Engineer