Senior Data Engineer

Posted 2024-11-11

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💎 Seniority level: Senior, senior level experience within data engineering

📍 Location: USA

🔍 Industry: Energy analytics and forecasting

🗣️ Languages: English

⏳ Experience: Senior level experience within data engineering

🪄 Skills: AWSDockerPythonGCPKubernetesAzureData engineering

Requirements:

Senior level experience within data engineering with primary focus using Python.
Experience with cloud-based infrastructure (Kubernetes/Docker) and data services (GCP, AWS, Azure, et al).
Experience building data pipelines with a proven track record of delivering results that impact the business.
Experience working on complex large codebase with a focus on refactoring and enhancements.
Experience building data monitoring pipelines with a focus on scalability.

Responsibilities:

Rebuilding systems to identify more efficient ways to process data.
Automate the entire forecasting pipeline, including data collection, preprocessing, model training, and deployment.
Continuously monitor system performance and optimize data processing workflows to reduce latency and improve efficiency.
Set up real-time monitoring for data feeds to detect anomalies or issues promptly.
Utilize distributed computing and parallel processing to handle large-scale data.
Design your data infrastructure to be scalable to accommodate future growth in data volume and sources.

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Senior Data Engineer

Requirements:

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