Job Title: Python Developer

Role Overview:

We are seeking a motivated Python Developer to join our dynamic team. The ideal candidate will have 2-3 years of experience in developing scalable applications and be proficient in Python. You will work on creating, enhancing, and maintaining innovative software solutions while collaborating with cross-functional teams to deliver exceptional results

Requirements

Requirements

Key Responsibilities:

• Develop and optimize data processing pipelines for large-scale datasets.
• Design, implement, and maintain scalable applications using Python.
• Collaborate with data scientists and analysts to integrate machine learning models and algorithms into production systems.
• Build and deploy RESTful APIs or micro services to support data-driven applications.
• Perform data wrangling, cleaning, and transformation to enable actionable insights.
• Write clean, modular, and maintainable code with an emphasis on performance.
• Ensure application security and scalability across diverse data processing workflows.
• Stay current with emerging technologies in data processing, AI, and data science.

Requirements:

Technical Skills:

• 2-3 years of experience as a Python Developer.
• Strong proficiency in Python 3.x and understanding of its libraries and frameworks such as Flask, Django, or FastAPI.
• Proficiency in Python 3.x and libraries like Pandas, NumPy, and Dask.
• Experience with data manipulation and processing frameworks (e.g., PySpark, Apache Beam).
• Strong knowledge of databases, including SQL and NoSQL (e.g., PostgreSQL, MongoDB).
• Familiarity with ETL processes and tools such as Airflow or Luigi.
• Experience with message brokers (e.g., RabbitMQ, Kafka) for real-time data processing.
• Experience with data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly) is a plus.
• Knowledge of ORM libraries like SQLAlchemy or Django ORM.
• Familiarity with containerization tools like Docker.
• Basic understanding of front-end technologies (e.g., HTML, CSS, JavaScript) for integration purposes.
• Experience with testing frameworks like PyTest, UnitTest, or similar.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work in an agile environment and handle multiple tasks effectively.
• Eagerness to learn and adapt to new tools and technologies.

Preferred Qualifications (Nice-to-Have):

• Basic understanding of machine learning concepts and frameworks like Scikit-learn, TensorFlow, or PyTorch .
• Understanding of DevOps practices and CI/CD pipelines.
• Familiarity with cloud services such as AWS, Azure, or GCP.
• Hands-on experience with AI/ML workflows or deploying machine learning models in production.
• Knowledge of big data technologies like Hadoop, Hive, or Spark.
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or DataRobot.

Education:

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

Benefits

Why Join Us?

• Work on cutting-edge technologies and impactful projects.
• Opportunities for career growth and development.
• Collaborative and inclusive work environment.
• Competitive salary and benefits package.