Digital R&D Data Engineering Lead
Core
Lead the design and development of scalable data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data for R&D use cases, supporting AI/ML solutions and digital transformation in healthcare.
Role type
Senior IC Data Engineering Lead
Builds
Scalable ETL/ELT pipelines, data products, APIs, and data feeds for R&D, manufacturing, and commercial performance
Domain
Healthcare R&D, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, AWS (S3, Lambda, Glue, EC2, IAM, SQS, API Gateway, EventBridge, EMR, MWAA), Snowflake, Informatica IICS, Apache Airflow, dbt, Terraform, Data Modeling (Star/Snowflake Schema), Data Lake/Warehouse Architecture, Batch & Streaming Processing, API Integrations, Data Governance, Cloud-Native Architecture
Preferred skills
R&D business domain knowledge, Generative AI (AWS Bedrock), Vector Databases, Snowflake Cortex, Streamlit
Technologies
Python, SQL, AWS, Snowflake, Informatica, Apache Airflow, dbt, Terraform
Responsibilities
Design and build scalable ETL/ELT pipelines; Structure and provision data for modeling and discovery; Develop and deploy APIs and data feeds; Optimize data workflows for high performance and reliability; Oversee junior engineers on testing requirements; Collaborate with Product Owners on planning and resource estimates
Seniority
Senior, hands-on IC with leadership responsibilities