🔹 Role Overview
We are looking for a highly skilled Senior Data Engineer with strong hands-on 10years experience in Python, SQL, AWS, Google Cloud Platform, database engineering, and Generative AI technologies.
The ideal candidate will build scalable data platforms, develop cloud-native solutions, modernize enterprise databases, and deliver AI-powered applications using modern GenAI frameworks.
🔹 Mandatory Technical Skills
✅ Python & Advanced SQL
✅ ETL/ELT & Data Pipeline Development
✅ AWS: RDS, S3, Glue, Lambda, Redshift, Bedrock
✅ Google Cloud Platform: BigQuery, Cloud SQL, Dataflow, Pub/Sub, Vertex AI
✅ Databases: Oracle, PostgreSQL, Couchbase
✅ Apache Spark, Kafka & Airflow
✅ REST APIs & Microservices
✅ Batch, Streaming & Real-Time Data Processing
✅ Docker, Git, CI/CD & Automation
🔹 GenAI / Agentic AI Skills
✅ Large Language Models (LLMs)
✅ Retrieval-Augmented Generation (RAG)
✅ LangChain & LangGraph
✅ CrewAI & AutoGen
✅ Agentic AI Architecture
✅ Vector Databases: Pinecone, FAISS, Chroma, pgvector
✅ AWS Bedrock & Google Vertex AI
🔹 Key Responsibilities
Design and develop scalable, cloud-native data engineering solutions.
Build and optimize batch, streaming, and real-time data pipelines.
Develop Python-based ETL/ELT workflows and microservices.
Design, migrate, and optimize Oracle, PostgreSQL, and Couchbase databases.
Implement GenAI-powered applications using LLMs, RAG, and Agentic AI frameworks.
Develop secure and scalable integrations across AWS and Google Cloud Platform.
Implement CI/CD, monitoring, automated testing, and data governance best practices.
🔹 Preferred Candidate Profile
A hands-on, full-stack Data Engineer capable of delivering end-to-end solutions across data engineering, database modernization, cloud platforms, and GenAI-powered applications.
📩 Interested candidates: Please share your updated resume to whatsapp: email:
