Senior Analyst – Data & Analytics
Johnson & Johnson (company site, opens in a new tab)5–7 yrsPuneHybridDirect career pageEst. 14–28 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and automate scalable, high-performance data processing systems and pipelines to support business growth and product experience improvements.
- Own end-to-end translation of business requirements into technical data engineering solutions with a focus on high-quality, maintainable data infrastructure.
- Support AI initiatives by maintaining data pipelines for AI and Generative AI applications, integrating Azure AI services, and collaborating on AI-enabled enterprise solutions with governance compliance.
Minimum Requirements
- 5–7 years of experience in data engineering focused on SQL-based scalable data pipelines.
- Proficiency in advanced SQL, Python (or equivalent), ETL/ELT, data modeling, metadata management, and production support.
- Foundational knowledge of machine learning and Generative AI concepts including large language models, embeddings, vector search, and RAG.
- Experience with cloud technologies such as Azure AI services; AWS experience beneficial but not mandatory.
Ideal Candidate Profile
- Experienced data engineer with demonstrated ability to build and own end-to-end data pipelines in complex data environments including data lakes.
- Working knowledge and practical application of AI/Generative AI workflows, especially RAG and Azure OpenAI integration.
- Background in computer science or related field, ideally with exposure to healthcare domain and cloud-based AI services.