AWS Data Engineer - Remote

Overview

We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets.

In Short

• Design and build scalable, reliable data pipelines using AWS services.
• Use AWS Step Functions to orchestrate workflows across data pipelines.
• Implement ETL/ELT processes using PySpark, Python, and Pandas.
• Leverage experience with complex distributed systems.
• Use AWS Lambda functions for serverless solutions.
• Design data models tailored for utilities use cases.
• Continuously monitor and improve the performance of data pipelines.
• Implement robust security measures for sensitive utility data.

Requirements

• At least 5 years of experience in data engineering.
• Deep understanding of distributed systems.
• Proficiency with AWS services and tools.
• Experience with data integration and transformation.
• Knowledge of data modeling for analytics.

Benefits

• Opportunity to work with premium brands.
• Dynamic work environment.
• Collaboration with top-tier professionals.
• Focus on innovation and growth.