Senior Python Data Engineer / AI Platform Engineer

JD:-

4 yrs experience

Strong Python & SQL Fundamentals (Mandatory)

• Ability to write coding solutions confidently, good understanding of SQL concepts, joins, aggregations, window functions, and analytical queries.
• Comfortable solving real-world coding and data manipulation problems.

2. Data Engineering & ETL Experience

• Hands-on experience designing and implementing ETL/ELT pipelines, understanding of data processing frameworks such as PySpark.
• Ability to explain architecture, design decisions, and production implementations.

3. Cloud Platform Experience (Preferably GCP)

• Working experience with core cloud services, Understanding of cloud-native architectures, deployment patterns, storage, and compute services.
• Ability to explain practical implementations rather than theoretical knowledge.

4. API & Microservices Development

• Experience building and consuming REST APIs, Understanding of microservices architecture.
• Familiarity with frameworks such as FastAPI, Flask, or Django.

5. Modern AI / LLM Knowledge

6. Full-Stack & Platform Engineering (Good to Have)

• Frontend technologies such as Angular and React.
• Backend development using Node.js.
• Containerization using Docker.
• CI/CD implementation experience.