Assistant Manager- Data Engineer
EXL · Gurugram, Haryana, India ·
- Work mode
- Hybrid
- Employment
- Full time
- Category
- Data engineering
- Experience
- 2+ years
•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
•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. 2-3 years of experience in ETL or data management.