Python Developer

We are looking for a talented Python and SQL Developer to join our team and support the development and maintenance of our TDW. The ideal candidate 5+ years of experience with strong proficiency in Python and SQL

Key Responsibilities and technical capabilities:

• Strong communication and teamwork abilities.
• Excellent problem-solving skills and attention to detail.
• Experience with web frameworks such as FastAPI or Tornado
• Develop, optimize, and maintain SQL queries and scripts.
• Write clean, efficient, and reusable code.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Troubleshoot and debug applications to optimize performance.
• Implement security and data protection solutions.
• Familiarity with version control systems (e.g., BitBucket).
• Participate in code reviews and contribute to team knowledge sharing.
• Stay up-to-date with the latest industry trends and technologies.
• Understanding of RESTful APIs and microservices architecture.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Self-driven and able to work independently with minimal supervision.
• Writing scalable code using Python programming language.

Programming skills:- Python (with working experience in most of common libraries like Scikit , numpy, pandas, mathplotlib, keras, tensorflow, nltk, genism, spacy etc)

• Experience in Python data structures and data engineering libraries is a mandatory
• Experience in one of frameworks Flask/Django and Python OOP concepts is an added advantage
• Working experience in end to end data science project life cycles from use case framing, data collection, data exploration, model building, deployment
• Good to have experience in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data
• Good to have knowledge in statistics and deep understanding on ML algorithms and their usage
• Good to have working exposure in common cloud environments and understanding of robust on premise data science infrastructure.
• Nice to have understanding of big data related technologies and DevOps(Dockers, Singularity)