Data Scientist

- Apply DataOps practices including CI CD version control automated testing release management and production support - Design build and maintain batch and streaming data pipelines for ingestion transformation validation and publishing - Develop curated reusable and well documented data products for BI analytics and ML - Enable AI ML and GenAI teams with governed data access patterns - Implement data quality checks observability lineage metadata management and monitoring - Optimize pipeline performance storage compute cost and reliability - Prepare feature datasets vector ready datasets and document corpora for AI ML and GenAI - Support data governance privacy access control and compliance for enterprise data - Translate business analytics and AI use cases into scalable data engineering solutions - Use cloud data engineering tools to deliver resilient data pipelines - Write production code in Python and SQL using data engineering frameworks