Lead Analytics Engineer

Responsibilities: Design, develop, and deploy machine learning models using Python and Azure. Lead analytics projects in various domains like retail, finance, or consumer analytics. Build and train ML models, and deploy them using Python on Azure. Refactor outdated Python code to adhere to modern coding principles. Develop and deliver web applications using Python, Django, HTML, CSS, and RESTful APIs. Create APIs using Java, Python, and Node.js. Build customer health status analytics dashboards to enhance customer interactions. Implement automation projects using Python for web and API frameworks like Flask and FastAPI. Refine and maintain production code written in SQL, Python, and Spark. Collaborate with clients, implementation teams, and associates to ensure project success. Develop data ingestion tools using Python to extract data from relational databases and external APIs. Requirements: Bachelor's degree in Computer Science, Data Analytics, or a related field. Strong expertise in Python and at least one popular framework like Django, Flask, or Pyramid. Proficiency in SQL, SAS, or other statistical programming languages. Experience in developing unit tests and ensuring code quality. Knowledge of scripting languages such as Perl, Bash, or Shell scripting. Ability to write efficient and modular server-side code in Python. Strong technical skills in .NET Core, Python, Web API, and Azure/AWS. Familiarity with CI/CD automation using PowerShell, Linux shell scripts, and Python. Experience in building data ingestion and processing code using Python, PySpark, or similar languages. Track record of driving operational excellence through deep-dive analytics of business processes. Excellent coding skills and the ability to debug programs and integrate third-party services. Proven experience in developing analytics dashboards and visualizations for business insights.