Analyst - Data Engineer

About the role

Analyst - Data Engineer at AstraZeneca. ML & Data Engineering.

What you'll do

• Support model serving for patient identification, adherence prediction, Next-Best-Action engines, and competitive intelligence models on Snowflake and Cortex AI
• Define and manage feature sets, lineage, and reuse to support AI/ML initiatives across the rare disease portfolio
• Production Operations & Monitoring: Ensure reliability and scalability of ML systems; implement effective logging, tracing, and alerting
• Establish monitoring for model performance, data drift, bias, and service health
• Monitor data quality across rare disease data feeds where small population sizes amplify the impact of anomalies

What you need

• 3–6 yrs of experience
• Machine learning
• SQL
• Python
• Snowflake
• Prompt engineering
• LLMs
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• ETL
• MLOps
• Databricks
• Spark
• Airflow
• CI/CD