Senior Data Engineer

About the Role We are looking for a highly skilled Data Engineer / Senior Data Engineer with strong expertise in Python, SQL, GCP, BigQuery, and Generative AI technologies . The ideal candidate will be responsible for building scalable data pipelines, cloud-native data solutions, and AI-powered applications leveraging RAG (Retrieval-Augmented Generation) frameworks and OpenAI technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Build and optimize AI-powered applications using OpenAI APIs and RAG architectures. Develop document ingestion, chunking, embedding, and retrieval pipelines. Work with structured and unstructured data at scale. Design and optimize data models in BigQuery, PostgreSQL, and Firestore. Build and manage workflow orchestration using Apache Airflow / Cloud Composer. Develop cloud-native solutions on Google Cloud Platform (GCP). Containerize applications using Docker and support CI/CD processes. Collaborate with cross-functional teams to deliver high-quality, scalable solutions. Ensure code quality through testing, code reviews, and best engineering practices. Required Skills 6+ years of experience in Data Engineering or Backend Engineering. Strong programming experience in Python . Advanced knowledge of SQL . Hands-on experience with Google Cloud Platform (GCP) . Experience with BigQuery . Experience building RAG (Retrieval-Augmented Generation) Pipelines . Hands-on experience with OpenAI APIs / LLM-based applications . Strong understanding of Chunking, Embeddings, and Vector Search . Experience with PostgreSQL and pgvector . Experience with Firestore or other NoSQL databases . Experience with Apache Airflow / Cloud Composer . Proficiency in Docker and Git . [JD_DE | Word]