Python Developer

Responsibilities and Duties:

• Expert in Python, with knowledge of Python web framework - Django
• Familiarity with backend automated testing tools and frameworks
• Experience with backend/API development
• Architect, develop and maintain backend libraries/codebase, database & server.
• Develop object-oriented software, with mastery of one or more relevant languages (Django).
• Evaluate competitive and innovative products and design approaches to identify best practices and encourage innovation.
• Understanding the requirement of a client, document the scope and chart out a plan of implementing the scope
• Work with design team to give inputs related to the wire-frames and then the design along with incorporating Client Feedback
• Explore the difference between B2B and B2C projects before implementing the code
• Work in teams of 2-3 on various projects as per the requirement using git as version control
• Having good knowledge of APIs creation and database architecture
• Good Grasp in respective technology (Django)
• Documenting the process and main functions along the developing process
• Design and develop highly scalable, highly available, reliable, secure, and fault-tolerant systems with minimal guidance for one of the fastest-growing companies in India.

Required Experience, Skills and Qualifications:

• 3-5 years of experience required
• Strong hand on Django-Python
• Excellent knowledge of using the Git version control system and deployment via Git.
• You have creative visualization, critical thinking, deductive & pragmatic reasoning and can think out-of-the-box
• Ability to quickly adapt & independently work in a fast-paced Agile environment with minimum supervision.
• A self-starter with demonstrated ability to take initiative, who can proactively identify issues/opportunities and recommend action.

·      4+ years of experience as a Python Developer.

·      Good Understanding of Object-Oriented Concepts and Solid principles.

·      Good Understanding in Programming and analytical skills.

·      Should have hands on experience in AWS Cloud Service like S3, Lambda functions Knowledge. (Must Have)

·      Should have experience Working with large datasets (Must Have)

·      Proficient in using NumPy, Pandas. (Must Have)

·      Should have hands on experience on Mysql (Must Have)

·      Should have experience in debugging Python applications (Must have)

·      Knowledge of working on Flask.

·      Knowledge of object-relational mapping (ORM).

·      Able to integrate multiple data sources and databases into one system

·      Proficient understanding of code versioning tools such as Git, SVN

·      Strong at problem-solving and logical abilities

·      Sound knowledge of Front-end technologies like HTML5, CSS3, and JavaScript 

·      Strong commitment and desire to learn and grow.

Job Description:

• 3 - 4 years of hands-on Python programming & libraries like PyData, Pandas
• Exposure to Mongo DB
• Experience in writing Unit Test cases
• Expertise in writing medium/advanced SQL Database queries
• Strong Verbal/Written communication skills
• Ability to work with onsite counterpart teams

Position description:

• Architecture & Design systems for Predictive analysis and writing algorithms to deal with financial data
• Must have experience on web services and APIs (REST, JSON, and similar) and creation and consumption of RESTful APIs
• Proficiently writing algorithms with Python/Pandas/Numpy; Jupyter/PyCharm
• Experience with relational and NoSQL databases (Eg. MSSQL, MongoDB, Redshift, PostgreSQL, Redis)
• Implementing Machine Learning Models using Python/R for best performance
• Working with Time Series Data & analyzing large data sets.
• Implementing financial strategies in python and generating reports to analyze the strategy results.

Primary Responsibilities:

• Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.

Educational qualifications preferred Degree: Bachelors degree

Required Knowledge:

• Highly skilled in SQL, Python, Pandas, Numpy, Machine Learning, Predictive Modelling, Algorithm designing, OOPS concepts
• 2 - 7 years Full-Time working experience on core SQL, Python role (Non-Support)
• Bachelor’s Degree in Engineering, equivalent or higher education.
• Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.

• Automation Expert builds the RPA project using the RPA tooling.
• Should be the member of core automation team and may or may not have the developer level expertise depending on the RPA tool the organization is using.
• The automation architect still has some experience in the programming and solving the real world problem.

Key Skills Required :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities :

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications