Python Developer

Key Responsibilities:

Software Development: Design, develop, test, and deploy high-quality Python applications and scripts.

Code Optimization: Write efficient, reusable, and modular code, and contribute to the optimization of existing codebases.

Database Integration: Integrate Python applications with databases, ensuring data integrity and efficient retrieval.

API Development: Design and implement RESTful APIs to facilitate seamless communication between different systems.

Collaboration: Work closely with UI/UX designers, backend developers, and other stakeholders to ensure cohesive and effective integration of Python components.

Testing and Debugging: Conduct thorough testing of applications, identify and fix bugs, and ensure software reliability.

Documentation: Create and maintain clear and comprehensive technical documentation for code, APIs, and system architecture.

Continuous Learning: Stay updated on industry trends, best practices, and emerging technologies related to Python development.

Required Skills

•Strong Experience in Python, Django, Flask

•Should have strong knowledge of Regular expression, Pandas, Numpy.

•Excellent knowledge on Web Crawling/Web scraping

•Should have used scraping modules like Selenium, Scrapy, Beautiful soup or URLib

•Experience with text processing. •Elasticsearch and Graph Based Database(Neo4j)(optional). Expert in mining data

• NLP and OCR knowledge is an added benefit.

•Basics of databases. Good troubleshooting and debugging skills

•Strong interpersonal, verbal and written communication.

• Mine data from structured and unstructured data sources

•Extract data (text,images,videos) from multiple documents in different formats

•Extract information and intelligence from data

• Extract data based on regular expressions

• Use NLP frameworks to enrich the data by extracting entities, doing sentiment analysis etc.

•Collect data from structured RDBMS databases

•Work closely with Project/Business/Research teams to provide mined data/intelligence for analysis

•Use web scraping frameworks like Scrapy to extract data from websites