Scalepex ยท 21 hours ago
AWS Data Engineer - Fully Remote - US Only
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No H1BSecurity Clearance Required
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Responsibilities
Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids
Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred
Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets
Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data
Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks
Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability
Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations
Qualification
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Required
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 into centralized systems
Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable
Strong analytical skills with the ability to work on unstructured datasets
Knowledge of data governance practices to ensure accuracy, consistency, and security of data
Strong experience in AWS data engineering
Ability to work independently
Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
Professional oral and written communication skills
Strong problem solving and troubleshooting skills with experience exercising mature judgement
Excellent teamwork and interpersonal skills
Ability to obtain and maintain the required clearance for this role