Data Engineer
Core
Design, build, and maintain scalable ETL/ELT pipelines and AI-powered data solutions to support critical business processes and decision-making.
Role type
Senior Data Engineer (AI/ML focus)
Builds
End-to-end data pipelines, data products, and AI workflows
Domain
Pharma/Biotech, Data Engineering, Generative AI
Deliverable
production ML models
Required skills
Advanced SQL, Data Warehouse architecture, AWS, Snowflake (including Snowflake Cortex), DBT, ETL/ELT tools, Python, Generative AI/LLM development
Preferred skills
RAG, AI agent architectures, Amazon Bedrock, Apache NiFi, BI tools
Technologies
Snowflake, AWS, DBT, Rivery, Fivetran, Python, Amazon Bedrock, Apache NiFi
Responsibilities
Design and develop complex SQL queries and data transformation processes; Integrate data from internal and external systems including APIs; Own data quality, monitoring, and governance processes; Investigate and resolve data-related issues; Design and operationalize AI workflows and data products from proof-of-concept to production; Build monitoring capabilities using anomaly detection and forecasting; Partner with business teams to apply AI and LLM-based solutions to real-world challenges.
Seniority
Senior, hands-on IC
