Data Engineer_Sr_Python Specialist

About the role

**Key Responsibilities:** Design and build a centralized data backbone/platform integrating data from diverse sources (APIs, databases, files, streaming systems) Develop and maintain scalable data pipelines using Python for ingestion, transformation, and processing Create and manage data models and database schemas optimized for performance and scalability Design and maintain data dependency graphs and lineage systems to track data flow and relationships Ensure data consistency, integrity, and quality across all systems Collaborate with domain experts to translate business logic into robust data models and AI-ready datasets Build reusable frameworks for data orchestration and workflow management Integrate AI/ML pipelines into the data backbone for training, inference, and feature engineering Design and manage feature stores for machine learning models Enable LLM-based applications by structuring and curating high-quality datasets for retrieval (RAG pipelines, embeddings, vector databases) Implement pipelines for data preprocessing, labeling, and augmentation for ML use cases Optimize data storage, querying, and processing performance Implement monitoring, logging, and alerting for both data and ML pipelines Support model lifecycle workflows including training, evaluation, deployment, and versioning Incorporate feedback loops for continuous model and data improvement Document data architecture, flows, dependencies, and AI pipeline integrations clearly B.E / B.Tech 6 - 8 Years

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Company Intel

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