Data Engineer - Remote

Overview

We are seeking a Data Engineer with expertise in data infrastructure, pipeline development, and scalable data solutions to play a pivotal role in enabling data-informed decision-making across the organization.

In Short

• Design and implement modern ETL/ELT architectures using cloud-based technologies.
• Develop and maintain data pipelines to pre-process and load data into databases for BI and application needs.
• Administer and manage databases to ensure high performance and availability.
• Work with the BI team to optimize the user experience in BI tools.
• Monitor and optimize data storage, processing, and serving costs.
• Build data pipelines by integrating with REST APIs.
• Design and implement real-time data pipeline architectures.
• Develop a robust alerting system for data discrepancies.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• Minimum 2 years of experience as a Data Engineer.
• Strong proficiency in Python, SQL, Spark, and EC2.
• Experience with PySpark Glue jobs, Lambda functions, and NoSQL databases.
• Detail-oriented with a keen interest in data transformations.
• Excellent problem-solving and time management skills.
• Flexible and able to work in a dynamic environment.
• Prior experience in project or team management is preferred.

Benefits

• Professional growth in a high-social-impact industry.
• An open-minded, collaborative culture.
• A multicultural experience with diverse colleagues.
• Structured learning and development programs.