Found Description
Job Summary
We are looking for an experienced Databricks Data Modeler to design, develop, and optimize enterprise-scale data models and data platforms on Databricks. The ideal candidate should have strong expertise in data modeling, data warehousing, ETL/ELT processes, and cloud-based data engineering solutions.
Key Responsibilities
Design and implement conceptual, logical, and physical data models for enterprise data platforms.
Develop scalable data solutions using Databricks , Apache Spark , and cloud technologies.
Create and maintain dimensional models (Star Schema, Snowflake Schema) for analytical and reporting requirements.
Collaborate with business stakeholders, data architects, and engineering teams to gather and analyze data requirements.
Build and optimize ETL/ELT pipelines for large-scale data processing.
Ensure data quality, consistency, governance, and security standards are maintained.
Perform data profiling, data lineage analysis, and impact ass...
We are looking for an experienced Databricks Data Modeler to design, develop, and optimize enterprise-scale data models and data platforms on Databricks. The ideal candidate should have strong expertise in data modeling, data warehousing, ETL/ELT processes, and cloud-based data engineering solutions.
Key Responsibilities
Design and implement conceptual, logical, and physical data models for enterprise data platforms.
Develop scalable data solutions using Databricks , Apache Spark , and cloud technologies.
Create and maintain dimensional models (Star Schema, Snowflake Schema) for analytical and reporting requirements.
Collaborate with business stakeholders, data architects, and engineering teams to gather and analyze data requirements.
Build and optimize ETL/ELT pipelines for large-scale data processing.
Ensure data quality, consistency, governance, and security standards are maintained.
Perform data profiling, data lineage analysis, and impact ass...