🌟The Role of Python Libraries in Modern Data Science🌟

Python libraries are the foundation of modern data science, equipping professionals with the tools needed for everything from data cleaning and visualization to advanced machine learning and deep learning applications. Libraries such as Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, and PySpark enable data scientists to extract insights, build predictive models, and deliver practical, real-world solutions with speed and precision.

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Data Engineer

Location - Chicago, IL (2 -3 days onsite on hybrid role)

Skills Required:

· Must have 10 + years of healthcare domain experience as a data engineer.

· Very good experience with data integration, data processing and building applications that show charts while dealing with very large scale of data in Terabytes and Multiple Data Sources

· Implement product & features that are secure, scalable, robust, and easy to implement and maintain.

· Work with minimal supervision within self-organizing Agile teams

· Be responsible for implementing features, provide bug fixes to ensure they work well at cloud scale.

· Take pride of ownership in code

Mandatory Skills

● AWS, Lambda, EMR, Glue, Deep SQL Experience, Deep Python Experience, Pyspark

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In the world of data science, raw data serves as the foundation for generating actionable insights. However, managing, processing, and transforming this data into a usable format requires specialized tools. Data engineering plays a pivotal role in the data science workflow by ensuring

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