Python Technical Team Lead & Python Developer

Job Overview

Job Description

Job Description

For Python Technical Team Lead

Job Description –

Technology: Python, Django, Angular

Lead the technical team in finding solutions for business problems

  • Analyzing the requirements and designing the project
  • Conduct code reviews to ensure coding standards are met
  • Unit-test code for robustness, including edge cases, usability and reliability
  • Work on bug fixing and improving application performance
  • Continuously discover, evaluate, and implement new technologies to maximize development efficiency
  • Build codes that are scalable and compatible on different browsers
  • Constantly bring and implement product innovation and ideas to improve customer experience

  • Handled the gamut of activities encompassing:
  • Requirement analysis and time estimation.
  • Designing as per the business requirement.
  • Development of code.
  • Unit testing and system integration testing of the developed code.
  • Providing fixes to the issues identified in testing.
  • Providing support for issues in UAT and SIT.
  • Providing support to client for testing of bug fixes.

For Python Developer —–

Technology: Python, Django

  • Solid experience of at least 4-8 years as Python Developer
  • Experience with Python frameworks (e.g. Django, Flask, Bottle)
  • Familiarity with Amazon Web Services (AWS) and REST API
  • Familiarity with GIT, Docker
  • Understanding of databases and SQL, MySQL, PostgreSQL
  • Knowledge of JavaScript and the AngularJS framework is a plus
  • Attention to detail
  • Leadership skills
  • Bechlor in Computer Science, Engineering or relevant field

Developed smart search engine which searches on publigation and obligation data from regulation inventory(With more than 50 Million records).

Implemented suggestion in smart search engine which suggests similar publication from regulation inventory by using cosine similarity.

Developed type-ahead search using elastic search which lters outs term based on the user's search term and xed spelling mistakes by the user using fuzzy string matching algorithm, increased search eciency signicantly.

Worked on Flask web development framework to build Restful API's using cheroot/ Gunicorn server for our application.

Developed an automated software solution that can digitize and analyze soft-copy of credit document by applying OCR, cutting down the time for credit analysis.

Implemented data pipeline to extract entities from collateral

documents using regex to automatically populate credit application form, cutting down the manual work and time for analysis process.

Working on python3.8 to python3.9 migration for our brokerage application.

  • Experience in working at various phases of project such as analysis, design, development, and testing.
  • Using Django Framework model, implemented MVC architecture and developed web applications with superb interface.
  • Created user interface of website using Python, HTML5, CSS, JSON . Developed the business logic in views for the URLs created and linked the webpages to functions in views to show the output to the end-user or to store information from the website into the database.
  • Worked on Django REST framework as it is much faster to read data and it can be cached. REST allows more formats than SOAP and gives better support for browser clients as it supports JSON.
  • Written scripts to import data, export data and data modeling.
  • Worked on Django ORM API to create and insert data into the tables and access the database.
  • Extensive experience in using the python packages such as NumPy, SciPy, Pandas, Beautiful Soap, Pickle and OS.
  • Extensive knowledge in doing python file operations and reading data and make operations to get desired outputs
  • Experience in using the Lambda functions like filter (), map () and reduce () called functional programming
  • Experience in writing complex SQL queries and performed various operations like Create, Update, Read and Delete.
  • Worked on databases like Oracle.
  • Experience in using the regular expressions to match the pattern with the existing code.
  • Extensive use of python data structures lists, tuples and dictionaries.