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Generalist backend Python role, metro location, and broad skillset increase candidate competition.
Backend Python microservices and data pipeline skills are highly transferable across industries.
Required technical stack without explicit years causes moderate skill-based filtering rather than rigid year cutoffs.
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Develop and maintain Python-based microservices and REST APIs using Python 3.x with frameworks like FastAPI or Flask.
Build and support data processing, analytics, and automation pipelines including data quality validation and monitoring solutions.
Support model performance tracking and data drift monitoring while collaborating with cross-functional teams to deliver scalable solutions.
Proficient in Python 3.x and experience with FastAPI or Flask, Pandas, NumPy, SQLAlchemy.
Experience with ML/Analytics libraries, Docker, Git, and Agile delivery processes.
Experience in troubleshooting, source control using Git, and collaborative development environments.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building scalable backend microservices and data analytics pipelines in Python environments.
Capable of handling full lifecycle of backend services including performance monitoring and data quality assurance.
Comfortable working in Agile teams and collaborating cross-functionally to deliver technology solutions.