AWS Data Engineer - Fully Remote - US Only

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Requirements:

• Minimum of 5 years of experience in data engineering.
• Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
• Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
• Hands-on experience with distributed systems and scalable architectures.
• Knowledge of ETL/ELT processes for integrating diverse datasets.
• Familiarity with utilities-specific datasets is highly desirable.
• Strong analytical skills to work with unstructured datasets.
• Knowledge of data governance practices.

Responsibilities:

• Design and build scalable data pipelines using AWS services to process and transform large datasets from utility systems.
• Orchestrate workflows using AWS Step Functions.
• Implement ETL/ELT processes to clean, transform, and integrate data.
• Leverage distributed systems experience to ensure reliability and performance.
• Utilize AWS Lambda for serverless application development.
• Design data models for analytics tailored to utilities use cases.
• Continuously monitor and optimize data pipeline performance.