Senior Python Developer

• Design and develop high performance green-field data analytics products for a Tier 1 bank
• Collaborate with business partners on the trading floor to create technical solutions with a competitive advantage
• Part of an innovative team pushing boundaries to create cutting edge data visualization solutions
• Promote and follow engineering best practices
• Apply an engineering mind-set to development work: understand use-cases in details, develop metrics to build good estimates of volume and compute velocity requirements, understand and discuss openly any implementation limitations or workaround
• Evaluate and build POCs for new strategic initiatives and work to convert to enterprise solutions
• Ability to take initiative to research, learn and recommend emerging technologies
• Provide post release assistance to business, development and support groups
• Develop application as per best practice and remain compliant with prescribed best practices (TDD, maintain high unit test coverage, CI)

• 5+ years applicable relevant experience
• 3+ years experience and understanding of Python 3.6 or above
• 3+ years experience with python frameworks and libraries, including Pytest, Pandas, Flask, and Kafka
• Solid understanding of REST API development
• Demonstrable experience in writing reusable, testable and efficient code with proper error and exception handling
• Experience with design and implementation of cloud-ready applications and deployment via Kubernetes / Openshift
• Experience with big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Pinot, Trino, Ignite)
• Hands-on experience in handling various data structures
• Understanding of threading model of Python, and multi-processor architecture
• Experience working on a Continuous Integration and Continuous Delivery environment
• Familiarity with TeamCity, Sonarqube and Jenkins
• Experience with the SDLC lifecycle and in working within an Agile environment
• Demonstrable understanding and experience of engineering best practices: design patterns, coding standard, code review, unit testing via Mockito and Junit
• Understanding of Agile software development methodology and strong experience with standard CI tools (Jenkins, TeamCity, Sonarqube, git)
• Bachelors degree in Computer Science, or related technical/quantitative discipline or equivalent work experience

Knowledge of python microservice development using FAST API and streaming technology Faust