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Senior Data Engineer The ideal candidate will have strong proficiency in Python for data processing, experience building backend services or APIs using frameworks like FastAPI, and a solid understanding of data modeling principles. They will be responsible for designing, building, and maintaining high-performance data processing pipelines, developing and exposing RESTful APIs, consuming and processing normalized Parquet files from multiple upstream sources to generate dynamic Excel reports, optimizing report generation logic for speed and scalability, integrating with messaging and storage mechanisms, and collaborating on infrastructure-as-code automation using Bicep. Key Responsibilities Design, build, and maintain high-performance data processing pipelines using Python libraries. Develop and expose RESTful APIs using FastAPI or similar frameworks. Consume and process normalized Parquet files from multiple upstream sources to generate dynamic Excel reports. Optimize report generation logic for speed and scalability. Integrate with messaging and storage mechanisms. Collaborate on infrastructure-as-code automation using Bicep. Requirements Strong proficiency in Python for data processing. Experience building backend services or APIs using frameworks like FastAPI. Solid understanding of data modeling principles. Familiarity with enterprise messaging patterns. Experience working with GitHub and CI / CD pipelines. Infrastructure-as-Code experience with Bicep or comparable tools. #J-18808-Ljbffr
