Job Description
Job overview and responsibility
Responsibilities:
- 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 Master’s degree in C...
Responsibilities:
- 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 Master’s degree in C...
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