Lead Data Engineer - Python

As a Lead Data Engineer - Python, your role will involve designing, developing, and maintaining data pipelines, data warehouses, and data models. You will be responsible for implementing Extract Transform Load (ETL) processes, performing data analysis, and ensuring data quality and consistency. Collaboration with cross-functional teams to understand business requirements and provide data-driven solutions will be a key part of your responsibilities. Key Responsibilities: - Design, develop, and maintain data pipelines, data warehouses, and data models - Implement Extract Transform Load (ETL) processes - Perform data analysis and ensure data quality and consistency - Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions Qualifications Required: - Strong Python backend development experience with web frameworks - Experience with MS Azure services - Experience in developing data analytics services using Python and managing it - Proficiency in ETL concepts and SQL skills - Familiarity with machine learning - Proficiency in data analytics and data visualization tools - Advanced knowledge of Python and Python-based data engineering frameworks - Excellent problem-solving skills and attention to detail - Ability to work in a hybrid work environment - Experience in the finance or healthcare sector is a plus - Bachelors or Masters degree in Computer Science, Engineering, or a related field,