
EY - GDS Consulting - AI and DATA - Data Modeller - Manager
- Kolkata, West Bengal
- Permanent
- Full-time
- 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.
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum of 5 years of experience in data modeling, with a strong background in both traditional RDBMS and modern cloud-based data platforms.
- Overall experience should be 8 to 11 years.
- Proficiency in SQL and experience with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner).
- Familiarity with Azure cloud services, Databricks, and other big data technologies.
- Understanding of data warehousing concepts, including dimensional modeling, star schemas, and snowflake schemas.
- Ability to translate complex business requirements into effective data models that support analytical and reporting functions.
- Strong analytical skills and attention to detail.
- Excellent communication and collaboration abilities, with the capacity to engage with both technical and non-technical stakeholders.