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.