Responsibilities:

📍Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. 📍Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. 📍Debugging codes when required and troubleshooting any Python-related queries. 📍Keep up to date with emerging trends and technologies in Python development.

Requirements:

📍Experience level 7+ years 📍Core Python developer, flask, Django, SQLalchamy/SQL, memory model. 📍Design, architect, and implement robust and scalable data pipelines using Python and related technologies (Airflow, PySpark, PyFlink are a plus). 📍Champion best practices for data engineering, code quality, testing, and deployment. 📍Mentor and guide a team of talented data engineers, fostering a collaborative and high-performing team culture. 📍Collaborate closely with Data Scientists, Data Analysts, and business stakeholders to translate complex business requirements into efficient data solutions.   📍Continuously research and implement new technologies and best practices to improve the efficiency and scalability of our data platform. 📍Take ownership of the deployment and monitoring of data pipelines and related infrastructure on cloud platforms such as Openshift, ECS, or Kubernetes.

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