E
EXL
Data Engineer
Assistant Manager- Data Engineer
On-siteSeniorData Engineerposted 1w ago
Role summaryAI-generated
This role focuses on designing and building scalable data engineering solutions on the Databricks Lakehouse Platform, including POCs and layered data architectures. The engineer will also implement data governance, security, and orchestration using Unity Catalog and best practices.
Skills required
About this role
•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
•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
Responsibilities
•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
Qualifications
Graduate in Computer Science, Data Science, Information Technology, or a related field. 2-3 years of experience in ETL or data management.
Apply on EXL →Opens in new tab
score your resume against this role
Similar open roles
P
NEWIN_Senior Associate_Data Analytics / Data Engineering_Digital Integration_Advisory_Gurgaon
On-siteSeniorData Engineer
yesterday