Lead Assistant Manager
Posted Updated
| •Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform •Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities •Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold) •Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices •Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities |
| •Design and build scalable, production-grade data engineering solutions using the Databricks LakehousePlatform •Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities •Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold) •Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices •Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities |
Graduate in Computer Science, Data Science, Information Technology, or a related field. 3-4 years of experience in ETL or data management.