Python Developer - Numpy/Pandas

Job Description As a Python Developer in the Insurance sector with 5+ years of experience, your role involves designing, developing, and maintaining scalable applications and data-driven solutions. Your expertise in core Python, version control, and data manipulation libraries will be crucial for success in this role. Key Responsibilities: - Develop Python-based UI applications using Plotly Dash / Streamlit. - Perform complex data transformations and analysis using Pandas and NumPy. - Write optimized SQL queries to generate insights from large datasets. - Build scalable and maintainable applications using OOP and design patterns. - Collaborate with cross-functional teams and adhere to version control best practices. Qualifications Required: - 5+ years of experience in Python and SQL-based data engineering/analytics in the Insurance sector. - Strong expertise in Pandas, NumPy, and data analysis techniques. - Hands-on experience with Plotly Dash / Streamlit; knowledge of Flask/FastAPI is a plus. - Good understanding of HTML, CSS, and JavaScript. - Exposure to PySpark, Databricks, Power BI/Tableau is desirable. Please note that a Bachelor's degree in Engineering, Computer Science, or a related field is preferred for this role. As a Python Developer in the Insurance sector with 5+ years of experience, your role involves designing, developing, and maintaining scalable applications and data-driven solutions. Your expertise in core Python, version control, and data manipulation libraries will be crucial for success in this role. Key Responsibilities: - Develop Python-based UI applications using Plotly Dash / Streamlit. - Perform complex data transformations and analysis using Pandas and NumPy. - Write optimized SQL queries to generate insights from large datasets. - Build scalable and maintainable applications using OOP and design patterns. - Collaborate with cross-functional teams and adhere to version control best practices. Qualifications Required: - 5+ years of experience in Python and SQL-based data engineering/analytics in the Insurance sector. - Strong expertise in Pandas, NumPy, and data analysis techniques. - Hands-on experience with Plotly Dash / Streamlit; knowledge of Flask/FastAPI is a plus. - Good understanding of HTML, CSS, and JavaScript. - Exposure to PySpark, Databricks, Power BI/Tableau is desirable. Please note that a Bachelor's degree in Engineering, Computer Science, or a related field is preferred for this role.