Python Developer

Responsibilities
• Strong experience in python frameworks like numpy, pandas, scipy, machine learning and AI libraries, ML and data integration tools like Apache Spark, using Python REST and Web Socket APIs in actual real-life projects.
• Good experience and knowledge in working in data science projects and deliverables including data integration and ETL
• Worked in Agile delivery methodologies and familiar with agile ceremonies.
• Detailed knowledge and experience in design patterns spanning all layers of an application architecture (mid-tier, business logic layer, integration and data layer) .
• Experience in using unit, component and integration testing with pytest scripting as part of development process, using continuous integration (Jenkins,, Axure DevOps) and using build tools like setuptools and anaconda is must.
• Experience in working in financial services, Trading and risk domain either in an enterprise or a software product company is definitely advantageous.
• Ability to instrument code, monitor application execution, identify issues and solving them objectively and performance engineering are key needs.
• Good experience in using Linux/ Windows OS and accessing/working with cloud IaaS services (hosted VMs) as well as containerized solutions like docker/ Kubernetes
• Knowledge in SQL and NoSQL database architectures, writing performant SQL and MongoDB queries and understanding and appreciation of how databases work and utilizing efficient ORM technologies /or alternate efficient data access tools is very important