Real-time Energy Data Integration & Analytics Platform

As a leading player in the renewable energy sector, we're encountering challenges in effectively managing and analyzing the vast amounts of data generated by our wind, solar, and hydropower operations. Currently, data silos hinder our ability to make real-time decisions crucial for optimizing energy production and distribution. We seek a skilled data engineering team to design and implement a robust, scalable data integration and analytics platform. The solution should incorporate real-time analytics using Apache Kafka for event streaming, ensure data quality with Airflow, and implement data transformation with dbt. Additionally, the solution will utilize Snowflake for data warehousing and leverage Spark for big data processing. The platform must offer seamless integration with our existing infrastructure, support machine learning models for predictive maintenance, and provide comprehensive dashboards via tools like Databricks or BigQuery. The project's success will position us to efficiently monitor energy output, reduce downtime, and optimize resource allocation.