Position Details
About this role
This role involves designing, building, and maintaining scalable data platforms and inference pipelines to support analytics and AI/ML initiatives within Johnson & Johnson. The candidate will work closely with data scientists, engineers, and IT teams to operationalize models and ensure data quality.
Key Responsibilities
- Design and operate data pipelines
- Implement ML inference pipelines
- Ensure data quality and governance
- Collaborate with data scientists
- Operationalize AI/ML models
Technical Overview
The position requires expertise in data engineering, cloud platforms (Azure, AWS), data pipelines (ETL/ELT), ML deployment, NLP, and data governance. Familiarity with tools like Databricks, SQL Server, and Jupyter Notebook is essential.
Ideal Candidate
The ideal candidate is a data engineer with experience in building scalable data pipelines, operationalizing AI/ML models, and working with cloud platforms like Azure and AWS. They should have strong skills in data governance, modeling, and scripting.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud data platforms, No background in data engineering, Unwilling to work in Irvine, CA, No experience with AI/ML deployment
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