Job Summary: Lead Python Developer
Lead the design development and deployment of enterprisegrade applications primarily in the finance sector.
Utilize expertise in Python PySpark FastAPI Pandas Polars and Spring Boot to deliver scalable highperformance solutions.
Apply quantitative engineering skills for interest rate derivatives specifically within SWAP QE environments.
Manage big data processing and analytics using Apache Spark Databricks and AWS Glue for largescale data pipelines and ETL processes.
Conduct financial risk modeling predictive analytics and machine learning to support datadriven decisionmaking.
Implement cloud computing and DevOps best practices with AWS Docker Kubernetes and Terraform for automated infrastructure and CI/CD deployment.
Design and implement RESTful and GraphQL APIs using FastAPI Flask and Django; optimize backend systems using PostgreSQL MongoDB Redis Oracle and PL/SQL.
Develop and orchestrate microservices and eventdriven architectures using Kafka and RabbitMQ.
Lead Agile teams using Scrum Kanban and SAFe ensuring code quality testdriven development (PyTest Selenium) peer reviews and continuous integration.
Perform web scraping data engineering and automation using Selenium BeautifulSoup Scrapy and Requests.
Schedule and optimize data workflows with Apache Airflow; integrate AI/ML models for advanced business insights.
Ensure solutions comply with security best practices and are reliable scalable and maintainable.