Python Developer

We are seeking a motivated Python Developer to join our dynamic team. This is a great opportunity for a developer with 2–3 years of experience to contribute to scalable, innovative software solutions. You’ll collaborate with cross-functional teams to design, build, and maintain applications that power data-driven decision-making and automation.Key Responsibilities

• Develop and optimize data processing pipelines for large-scale datasets.
• Design, implement, and maintain scalable applications using Python.
• Collaborate with data scientists to integrate ML models into production systems.
• Build and deploy RESTful APIs and microservices to support frontend and data services.
• Perform data wrangling, cleaning, and transformation for analytics and reporting.
• Write clean, modular, and high-performance code with strong documentation.
• Ensure application security, performance, and scalability across services.
• Stay up-to-date with the latest technologies in data engineering and Python development.

• 2–3 years of hands-on experience as a Python Developer.
• Strong proficiency in Python 3.x and frameworks such as Flask, FastAPI, or Django.
• Solid experience with data libraries like Pandas, NumPy, and Dask.
• Familiarity with data processing frameworks (e.g., PySpark, Apache Beam).
• Proficient in both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Understanding of ETL workflows and tools such as Apache Airflow or Luigi.
• Experience with message brokers (e.g., Kafka, RabbitMQ) for streaming or event-based systems.
• Working knowledge of data visualization libraries (e.g., Plotly, Seaborn, Matplotlib).
• Familiarity with ORM tools (e.g., SQLAlchemy, Django ORM).
• Exposure to containerization tools like Docker.
• Basic understanding of HTML, CSS, JavaScript for API integration and debugging.
• Experience with testing frameworks such as PyTest, UnitTest, or similar.

• Strong analytical and problem-solving mindset.
• Excellent verbal and written communication skills.
• Ability to work effectively in an agile team environment.
• Self-motivated with a strong desire to learn and adapt.

• Basic understanding of machine learning and tools like Scikit-learn, TensorFlow, or PyTorch.
• Exposure to DevOps practices and CI/CD pipelines.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Experience deploying ML models or managing AI/ML workflows in production.
• Working knowledge of big data technologies like Spark, Hive, or Hadoop.
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow, DataRobot).

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field — or equivalent practical experience.

• Work on cutting-edge technologies and impactful, high-value projects.
• Clear career progression and professional development support.
• A collaborative, inclusive, and innovation-driven work culture.
• Competitive salary and comprehensive benefits package.