Python fullstack developer

Job Title: Python Full Stack Developer

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Position Overview

Python Full Stack Developer

Python development, data processing, financial instruments, and analytics tools

Roles and Responsibilities

• Design, develop, and enhance full-stack applications supporting investment and financial analytics platforms.
• Translate business requirements into scalable technical solutions.
• Implement and validate changes, ensuring high performance, reliability, and data accuracy.
• Maintain documentation for design, development, and deployment processes.
• Support ongoing production systems and resolve application or data issues.
• Collaborate with cross-functional teams including business, QA, and infrastructure.
• Contribute to CI/CD pipelines and automation processes using

  Jenkins or GitHub Actions

  .
• Ensure compliance with best practices in coding, performance tuning, and cloud security.

Mandatory Skills

• Minimum

  5+ years of experience

  as a

  Full Stack Developer

  or in a similar role.
• Strong

  Python

  and

  SQL

  development experience, following production-grade patterns and best practices.
• Minimum

  3+ years

  of experience handling

  big data or investment/accounting data

  (bonds, derivatives, financial instruments).
• Experience with

  investment analytics platforms

  such as

  Moody’s RiskFrontier

  or

  Moody’s Analytics tools

  (market or credit risk).
• Hands-on experience with

  DevOps

  ,

  CI/CD

  , and automation using

  Jenkins/GitHub Actions

  .
• Experience and/or certifications in

  AWS

  or

  Azure Cloud

  environments.
• Proficiency with

  scheduling tools

  such as

  Apache Airflow

  or

  HCL Workload Automation

  .

Desired Skills

• Strong command of

  front-end and back-end technologies

  .
• Proficiency in

  relational databases

  (MS SQL Server, MySQL, PostgreSQL) and database design principles.
• Familiarity with

  NoSQL databases

  (MongoDB, Cassandra, etc.).
• Experience working with

  reporting tools

  ,

  data post-processing techniques

  , and multiple

  file formats/systems

  .
• Strong documentation and presentation skills using

  Visio, Excel, Word, and PowerPoint

  .
• Knowledge of

  insurance and investment domains

  will be an added advantage.