Lead/Senior AI Data Engineer

Attractive salary package! 5 days in office. Company is hiring multiple headcounts for Senior and Lead level. Please refer your friends too.about jobDesign, build, and maintain scalable batch and streaming data pipelines to support analytics and machine learning initiativesPerform data transformation, cleansing, and validation using standard engineering frameworksImplement and operationalize knowledge bases, vector search, and Retrieval-Augmented Generation (RAG) architectures for enterprise GenAI applicationsskills and requirementsBachelor's degree in Computer Science, Software EngineeringMin 5 years of hands-on experience in data engineering, cloud analytics, or data platform developmentStrong expertise in Python, SQL, and distributed data processing using PySpark/Apache SparkProven track record building streaming and batch data pipelines using tools such as Databricks, Delta Lake, and KafkaHands-on experience developing RAG solution stacks, vector databases, and embeddings for GenAI use cases. Familiarity with enterprise data governance, CI/CD workflows, Git version control, and cloud-native observability.Needs to have some AI knowledge or experienceTo apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)