Python Data Engineer Lead

Há 4 dias


Curitiba PR, Brasil beBeeDataScience Tempo inteiro

Senior Data Scientist About the Project: We design, build, and maintain high-performance data processing pipelines using Python libraries (Pandas, Polars) with a focus on scalability. We develop and expose RESTful APIs using FastAPI or similar frameworks to ensure efficient data transfer. Normalized Parquet files from multiple upstream sources are processed to generate dynamic Excel reports with detailed insights. Collaboration is key in automating infrastructure-as-code deployment processes using Bicep or similar IaC tools. Required Skills and Qualifications: Expertise in Python for data processing, including Pandas and Polars. Experience building backend services or APIs using FastAPI. Solid understanding of data modeling principles and handling normalized datasets. Familiarity with enterprise messaging patterns and data integration from various sources. Working knowledge of GitHub and CI/CD pipelines is essential. What You'll Gain: Develop your skills in designing data processing pipelines and APIs. Enhance your understanding of data modeling and normalized datasets. Pursue collaboration opportunities in infrastructure-as-code automation. Key Responsibilities: Design and implement high-performance data processing pipelines. Develop and expose RESTful APIs. Process normalized Parquet files for dynamic reporting. Automate infrastructure-as-code deployment processes.



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