Mid-Level Data Engineer - Remote

Overview

We are looking for a Product Data Engineer to maintain and optimize data pipelines in AWS for product analytics and decision-making. This role focuses on ensuring data flow, availability, and performance while optimizing costs.

In Short

• Develop and optimize scalable data pipelines using Python and AWS services.
• Manage ETL/ELT workflows with tools like Airflow and Glue for data integrity.
• Improve storage efficiency and query performance for large datasets.
• Implement logging and monitoring for pipeline reliability.
• Collaborate with cross-functional teams to provide quality data for decision-making.

Requirements

• Experience with Data Engineering or a related role.
• Strong Python proficiency for data processing and automation.
• Experience with AWS and basic SQL.
• Hands-on experience with ETL orchestration using Apache Airflow.
• Familiarity with CI/CD pipelines and version control (Git).

Benefits

• Work with a team of tech transformation specialists.
• Opportunity to collaborate with over 1,000 clients.
• Engage in projects involving Artificial Intelligence.