LTIMindtree - Data Modeler

Data Modeler Hybrid Data Environments

Job Summary :

We are in search of an experienced Data Modeler who possesses a deep understanding of traditional data stores such as SQL Server and Oracle DB, as well as proficiency in Azure / Databricks cloud environments. The ideal candidate will be adept at comprehending business processes and deriving methods to define analytical data models that support enterprise-level analytics, insights generation, and operational reporting.

Key Responsibilities :

• Collaborate with business analysts and stakeholders to understand business processes and requirements, translating them into data modeling solutions.
• Design and develop logical and physical data models that effectively capture the granularity of data necessary for analytical and reporting purposes.
• Migrate and optimize existing data models from traditional on-premises data stores to Azure / Databricks cloud environments, ensuring scalability and performance.
• Establish data modeling standards and best practices to maintain the integrity and consistency of the data architecture.
• Work closely with data engineers and BI developers to ensure that the data models support the needs of analytical and operational reporting.
• Conduct data profiling and analysis to understand data sources, relationships, and quality, informing the data modeling process.
• Continuously evaluate and refine data models to accommodate evolving business needs and to leverage new data modeling techniques and cloud capabilities.
• Document data models, including entity-relationship diagrams, data dictionaries, and metadata, to provide clear guidance for development and maintenance.
• Provide expertise in data modeling and data architecture to support the development of data governance policies and procedures.

Qualifications :

(ref : hirist.tech)