Principal Data Scientist - AI & ML

Job description

Experience - 5–8 Years Key Responsibilities Data Foundation - Build governed data products using Apache Iceberg. - Develop scalable ingestion pipelines. Data Quality - Implement data validation, reconciliation, and lineage. - Maintain schema evolution and auditing capabilities. Data Integration - Integrate structured and unstructured datasets. - Enable analytics and AI consumption. Performance Optimization - Optimize storage and query performance. - Support data governance initiatives. Required Skills - Apache Iceberg - Python - SQL - Data Modeling - ETL/ELT - AWS Data Services Preferred Skills - Spark - Data Governance - Data Lakehouse Architecture