Position Details
About this role
This role involves developing and supporting data pipelines, implementing machine learning and AI solutions, and ensuring data quality for finance and ERP systems within Johnson & Johnson.
Key Responsibilities
- Develop data pipelines
- Implement machine learning models
- Support data validation and reconciliation
- Automate data workflows
- Integrate diverse data sources
Technical Overview
Focuses on machine learning, data pipeline engineering, data validation, and automation using SAP Hana, Datahub, Datasphere, and related tools in a finance/ERP environment.
Ideal Candidate
The ideal candidate is a data scientist with expertise in machine learning, data pipeline development, and automation, preferably with experience in SAP Hana and data integration tools, capable of supporting finance and ERP systems.
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 SAP Hana or data integration tools, No automation or data pipeline experience, Insufficient knowledge of data validation/reconciliation
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