Real-time Data Pipeline Optimization for Renewable Energy Forecasting

As a rapidly growing player in the renewable energy industry, we are committed to optimizing our data infrastructure to enhance the accuracy and timeliness of our energy production forecasts. We are looking for a skilled data engineer to lead the optimization of our data pipeline, focusing on real-time data integration and processing. The project will involve implementing Apache Kafka for event streaming, streamlining data workflows with Airflow, and leveraging dbt for data transformation. Additionally, you'll integrate analytics platforms like Snowflake and BigQuery to ensure scalable and efficient data storage and retrieval. Our goal is to construct a resilient data architecture that supports real-time analytics and data observability, essential for making informed operational decisions and meeting energy demands. This project is pivotal in ensuring that our forecasts remain precise and our energy distribution is optimized for market demands, ultimately supporting our company's growth and sustainability goals.