Digital R&D Data Engineering Expert
Core
Design, build, and maintain scalable data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data for R&D use cases.
Role type
Senior Data Engineering Expert (R&D)
Builds
Data & AI products serving R&D, manufacturing, and commercial performance
Domain
Healthcare R&D / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, AWS (S3, Lambda, Glue, EC2, IAM, SQS, API Gateway, EventBridge, EMR, MWAA), Snowflake, Data Modeling, Performance Tuning, Query Optimization, Informatica IICS, Apache Airflow, dbt, Terraform, CI/CD
Preferred skills
R&D business understanding, Generative AI (AWS Bedrock), Vector Databases, Snowflake Cortex, Streamlit
Technologies
AWS, Snowflake, Informatica IICS, Apache Airflow, dbt, Terraform
Responsibilities
Design and develop ETL/ELT pipelines; Structure and provision data for modeling; Develop and deploy APIs/data feeds; Optimize data workflows for performance and reliability; Collaborate on engineering feasibility and capacity planning; Stay current on industry trends and best practices
Seniority
Mid-Senior, hands-on IC