Data Engineer

About the Role

- Integrate with external and internal APIs for data exchange. - Develop and maintain APIs using Python. - Build and optimize data models for reporting and analytics. - Write efficient SQL queries and ensure data quality and consistency. - Develop and maintain batch and real-time data pipelines. - Use cloud services for data processing, storage, and analytics. - Build and work with containerized applications using Docker and Kubernetes-based platforms. - Work with Linux-based environments for application deployment, troubleshooting, and operational support. - Troubleshoot data issues and support production data workflows. - Leverage AI-assisted tools to improve productivity, code quality, and development efficiency.

Key Skills Required

• Python | API Development | Django | Flask | FastAPI | SQL | Data Modeling | ETL Processes | Data Pipelines | AWS | Azure | Docker | Kubernetes | Linux | AI-assisted Development | Troubleshooting | Data Quality | API Integration | Reporting & Analytics | Operational Support

Qualification

Any

Additional Details