Software Engineer - Data Quality

About the role

Software Engineer - Data Quality at Truveta. Build performant AI-based anomaly detection and monitoring systems, using machine learning and supporting statistical methods to analyze big data at scale.

What you'll do

• Build performant AI-based anomaly detection and monitoring systems, using machine learning and supporting statistical methods to analyze big data at scale
• Detect and characterize data-quality issues such as missing or late feeds, volume and distribution shifts, schema and contract drift, duplication
• Develop and evaluate detection approaches, from statistical baselines and time-series methods through machine-learning models, and measure them on precision, recall
• Turn detection output into signals people can act on: alerts with root-cause context, data-quality metrics, and dashboards that engineering and clinical teams trust
• Work with data-processing engineers to build quality checks into pipelines so that defects are caught where they are introduced

What you need

• Machine learning
• Python
• Statistics
• AWS
• Data analysis
• Azure
• B.Sc or B.Tech or B.E. or BCA

Good to have

• SQL
• Spark
• Databricks
• GCP