Job Description

Job overview and responsibility

  • Design, build, and maintain scalable data pipelines for real-time and historical data processing.

  • Set up and optimize databases, data warehouses, and ETL processes to manage large-scale time-series data from sensors (energy consumption, temperature, humidity, occupancy) and external sources (weather, utility data).

  • Experience in handling and processing large data input volumes (1000s of rows per second)

  • Collaborate across Product, Customer Success, Installation, and Tech Support to align data architecture with business needs and ensure data quality.

  • Implement monitoring and logging systems to ensure pipeline reliability and quickly troubleshoot issues.

  • Work with data scientists to streamline data access, facilitate experimentation, and support predictive model deployment.

Required skills and experiences

  • Bachelor's or Ma...

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