| Python Software Engineer 12+ yeas Remote at Remote, Remote, USA |
| Email: [email protected] |
| Hello Need Senior 12+ years Role: Python Software Engineer Client: CVS Location :Remote Rate : Lowest in Market Visa: Except OPT/CPT Key Responsibilities: Front-End Development: Design and implement a responsive, user-friendly interface for creating and managing data validation rules. Use front-end frameworks like React.js to build dynamic UI components. Ensure seamless interaction between the UI and the back-end APIs, managing data quality rule creation and data visualization. Collaborate with UI/UX designers to translate mockups and wireframes into functional front-end applications. Back-End Development: Experience with Python, coding and API connections Develop and maintain RESTful APIs for data validation, profiling, and data quality rule management. Implement server-side logic using Node.js, Express, or Django to handle API requests and integrate with data pipelines. Work with cloud services (GCP) to manage data storage and automate workflows, including the storage of validation rules and profiling results in Google Cloud Storage (GCS). Build data processing logic for integrating the data quality framework with DAGs and automating data validation workflows. Database and Data Quality Integration: Work with SQL and NoSQL databases for managing and storing data validation rules and data quality metrics. Integrate with data observability tools like Grafana to visualize data quality metrics and set up real-time monitoring dashboards. Implement security and compliance protocols, including role-based access control for managing sensitive data in the UI and back-end. Proficiency in JavaScript and TypeScript, along with frameworks like React.js, Angular, or Vue.js for front-end development. Strong experience with Node.js, Express, or Django for back-end API development. Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), and experience with cloud storage and APIs. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Experience with data quality frameworks and tools (e.g., Great Expectations, Grafana) for data validation and monitoring. Familiarity with CI/CD pipelines, version control systems (Git/GitHub), and containerization technologies (Docker, Kubernetes). Knowledge of data security, role-based access control, and compliance best practices. -- Keywords: continuous integration continuous deployment user interface user experience javascript information technology Python Software Engineer 12+ yeas Remote [email protected] |
| [email protected] View all |
| Fri Oct 04 00:38:00 UTC 2024 |