Job Description
Data Modelling & Architecture:
Design and implement conceptual| logical| and physical data models.
Develop scalable and efficient data architectures using Azure Synapse and Databricks.
Integrate data from diverse sources including ERPs| APIs| and cloud databases.
Work closely with data engineers| analysts| and business stakeholders to gather requirements.
Derive Logical| Physical data models.
Ability to do reverse engineering.
Analysis of data across end-to-end applications.
Tools & Technologies:
Azure Synapse Analytics| Azure Data Factory (ADF).
Databricks (including Delta Lake and Unity Catalog)| SQL| PySpark |Python.
Hands-on data modelling tools (E.g., Erwin Data Modeler| ERStudio Data Architect| Power Designer etc.).
Experience with datawarehouse and Azure datalake.
Core Technical Competencies:
Strong understanding of data warehousing concepts and cloud architecture.
Design and implement conceptual| logical| and physical data models.
Develop scalable and efficient data architectures using Azure Synapse and Databricks.
Integrate data from diverse sources including ERPs| APIs| and cloud databases.
Work closely with data engineers| analysts| and business stakeholders to gather requirements.
Azure Synapse Analytics.