Job Description:
For a start-up developing technologies for remote medical monitoring.
We're seeking a Data Engineer to join our data team, to lead our data validation, visualization, and algorithms infrastructure initiatives. You'll build the bridge between our data collection systems and the algorithms teams, ensuring data quality and accessibility while supporting our rapidly scaling data infrastructure.
Key responsibilities and tasks:
• Data Pipelines: Design and optimize end-to-end data pipelines for efficient data processing and data quality monitoring systems.
• Establish data validation standards and documentation
• Data Monitoring: Develop methods for monitoring data quality, pipeline performance, and model behavior.
• Cross-company support: Supply the hardware, ML and DSP teams with an API to the database and investigate with them the various data-related aspects.
• Infrastructure: Support scaling of data processing systems, implement compression and advanced indexing strategies.
Job Qualifications:
• Bachelors or Master’s degree in Computer Science, Data Science, or a related field.
• 3+ years in data management and operating large databases.
• Strong understanding of data governance principles and best practices.
• Expertise in Python for effective data manipulation, analysis and data visualization.
• Excellent communication skills.
• Preferred:
• Experience with signal processing or medical devices
• Experience with time-series data processing (DSP of time series)
• Knowledge of AWS services (S3, IoT Core, Lambda), SQL
Company Occupation:
High Tech