Job Description

Title: Python Engineer/ Developer

Location: Jersey City, NJ

Duration: 6-12 Months

Job Description:

• We are seeking skilled and motivated Python Engineer to join our development team.
• The ideal candidate will have a strong foundation in Core Python, experience building and consuming RESTful APls , and hands-on knowledge of asynchronous programming ( asyncio) .
• Should be comfortable working with Python libraries such as SQLAlchemy and Pandas, and writing clean, efficient, and testable code.

Key Responsibilities:

• Develop and maintain scalable Python applications and backend services.
• Design and implement robust REST APIs to support front-end and third-party integrations.
• Work with asynchronous code using asyncio to optimize performance and concurrency.
• Integrate and manage databases using SQLAlchemy ORM for efficient data modeling and querying.
• Perform data manipulation and analysis using Pandas for reporting and pipeline transformations.
• Collaborate with cross-functional teams including front-end developers, DevOps, and data analysts.
• Write unit and integration tests to ensure high code quality and reliability. . Participate in code reviews, sprint planning, and team meetings.

Required Skills & Qualifications:

• Strong knowledge of Core Python, including data structures, OOP, and error handling.
• Solid experience with RESTful API design and implementation using frameworks like Flask or FastAPI .
• Proficiency with asynchronous programming in Python using asyncio, aio or similar .
• Hands-on experience with SQL Alchemy for working with relational databases ( PostgreSQL, MySQL, etc. ).
• Experience in data analysis and Hands-on experience with SQLAIchemy for working with relational databases ( PostgreSQL, MySQL, etc. ).
• Experience in data analysis and transformation using Pandas.
• Familiarity with version control systems (Git) and Agile development methodologies.
• Excellent problem-solving and communication skills.

Preferred Qualifications (Nice to Have):

• Experience with Docker and containerized deployments.
• Knowledge of cloud platforms like AWS. Azure, or GCP.
• Familiarity with task queues ( Celery, RQ ) and background job processing.
• Exposure to CI/CD pipelines and test automation tools.

Education:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

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