We are looking for a Data Engineer to build and maintain data pipelines, develop APIs, and support scalable data solutions. The ideal candidate should have robust programming and database skills, with a willingness to learn and work across different data technologies.
Key Responsibilities
1. Integrate with external and internal APIs for data exchange.
2. Develop and maintain APIs using Python.
3. Build and optimize data models for reporting and analytics.
4. Write efficient SQL queries and ensure data quality and consistency.
5. Develop and maintain batch and real-time data pipelines.
6. Use cloud services for data processing, storage, and analytics.
7. Build and work with containerized applications using Docker and Kubernetes-based platforms.
8. Work with Linux-based environments for application deployment, troubleshooting, and operational support.
9. Troubleshoot data issues and support production data workflows.
10)Leverage AI-assisted tools to improve productivity, code quality, and development efficiency.
Required Skills
1. 2 to 3 years of experience in Data Engineering.
2. Strong hands-on experience in Python.
3. Experience in API development and integration using Python frameworks such as Django, Flask, or FastAPI.
4. Good knowledge of SQL and understanding of data modeling and data warehousing concepts.
5. Understanding of Data Engineering fundamentals, including data pipelines and ETL processes.
6. Hands-on exposure to Cloud platforms (AWS / Azure).
7. Familiarity with Docker and Kubernetes concepts.
8. Good working knowledge of Linux operating systems and command-line tools.
9. Ability to use AI-assisted tools for coding, debugging, and productivity.