Backend Developer_Python

Job Description

Responsibilities Asset Engineering is looking for a talented Python Developer with a strong background in SQL server and experience in both data processing and database management to join our growing team. In this role, you will be responsible for developing efficient Python applications and scripts, working with SQL Server databases for data extraction, manipulation, and analysis. Familiarity with data science libraries is a plus, as is experience with cloud platforms like IBM Cloud or Microsoft Azure. Key Responsibilities: Design and develop AI agentic applications using Python programming languages Collaborate with cross-functional teams to identify and prioritize project requirements Integrate AI models with Salesforce, Watsonx Assistant, Watsonx Orchestrate, Slack and other web applications using RESTful APIs and web frameworks such as Spring Boot or Flask/FastAPI. Develop and maintain databases using relational databases PostgreSQL and VectorDB. Ensure high-quality software development by following best practices, testing, and validation Develop and maintain Python applications for data processing, automation, and analysis. Use data science libraries (e.g., pandas, NumPy) to process and analyze data, providing insights and support for analytics needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in Computer Science, Data Engineering, or a related field. 5+ years of experience with Python, with a strong proficiency in SQL Server. Solid understanding of relational databases, data modeling, and database query optimization. Experience with data processing libraries like pandas and NumPy. Strong analytical and problem-solving skills with an eye for detail. Preferred technical and professional experience Experience with cloud platforms (IBM Cloud or Microsoft Azure) & Familiarity with serverless functions in Azure (Azure Functions) using Python. Experience with Microsoft SQL Server. Experience with build tools like Jenkins. Experience with Angular for front-end development. Familiarity with additional data science libraries (e.g., scikit-learn, Matplotlib) is a plus.