Lead Python Engineer

3 weeks ago

Gurugram, India IT Resource Hunter Full time

Responsibilities

Reporting to the Senior Engineer Manager - Risk and data Technology, and working closely with CIO he/she will focus on designing and developing the key frameworks (service engines, API backed business functions) for business process execution as well as work in Data science projects (planning optimization, pricing/scheduling optimization) and driving the industrialization of the python-based software engineering /development processes.

- The role will involve designing and developing risk and trading functionality covering MtM calculations, VaR and Shocking, PnL calculation, Position reporting, and Trade pricing.

- Will be working with the rest of the data team to deliver data engineering related projects, designing re-usable solutions.

- Also create the development and design standards for Python eco system, tools and library selection, packaging, build and deployment, CI/CD processes for Python based deliveries.

- The role will also work with rest of technology organisation to improve the SDLC rigor including automated testing, automated build and deployment, design and coding best practices.

- Be proactive in active engagement to resolve issues and collaborate with rest of the development in the organisation to deliver the technology strategy defined by CIO.

- Be the leader for Python development in the company and drive the industrializing of Python engineering Bachelor's degree in Computer science with good knowledge in data science topics (supervised/unsupervised ML, Deep learning topics)

- 8+ yrs. in software development and 5+ yrs solid hands-on experience in Python development.

- 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.

- Good experience and knowledge in working in data engineering projects and deliverables including data integration , SQL and ETL tools.

- 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.

- 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, Azure 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

(ref:hirist.tech)

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