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 job

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and machine learning initiatives
• Perform data transformation, cleansing, and validation using standard engineering frameworks
• Implement and operationalize knowledge bases, vector search, and Retrieval-Augmented Generation (RAG) architectures for enterprise GenAI applications

skills and requirements

• Bachelor's degree in Computer Science, Software Engineering
• Min 5 years of hands‑on experience in data engineering, cloud analytics, or data platform development
• Strong expertise in Python, SQL, and distributed data processing using PySpark/Apache Spark
• Proven track record building streaming and batch data pipelines using tools such as Databricks, Delta Lake, and Kafka
• Hands‑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 experience