Data Modeler

Job Title : Data Modeler Position : Hybrid ( Once in a week )Location : Jersey City , NJ (Must Be local with DL Copy)Experience: 12+ Years ( Mandatory)Interview Mode : VirtualJob Description:**Key Responsibilities:**Design, implement, and optimize data models for the data warehouse, ensuring alignment with business requirements.- Work extensively with **IBM IDA (InfoSphere Data Architect)** to create logical and physical data models.- Ensure that the data models are scalable, performant, and aligned with the organization's data strategy.- Collaborate with data engineers to implement and maintain data models in **Azure** and **Databricks** environments.- Translate business requirements into conceptual, logical, and physical data models, ensuring data quality and consistency across systems.- Participate in data architecture and design discussions to ensure data modeling best practices are followed.- Develop and maintain documentation of data models, data flow diagrams, and database design specifications.- Work with stakeholders to ensure the data models support analytics, reporting, and data integration needs.- Perform impact analysis of changes to existing models and collaborate with teams to assess the effects on downstream systems.- Continuously improve and optimize data models to enhance performance and data accessibility.**Qualifications:**- Bachelor's degree in Computer Science, Information Systems, or a related field.- Proven experience as a **Data Modeler** working in data warehouse environments.- Strong expertise with **IBM IDA (InfoSphere Data Architect)** or similar data modeling tools.- Solid understanding of **Azure** and **Databricks** architecture, and experience working in cloud-based data environments.- Proficiency in relational and dimensional data modeling techniques, including star and snowflake schemas.- Hands-on experience with SQL and database design, with knowledge of data lakes, data warehouses, and ETL processes.- Strong analytical and problem-solving skills, with attention to detail.- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.- Familiarity with data governance, metadata management, and data quality practices.**Preferred Qualifications:**- Experience with **Azure Synapse**, **Azure Data Factory**, and **Databricks Delta Lake**.- Knowledge of big data technologies and principles of data lakehouse architectures.- Experience in agile methodologies and working in a fast-paced, collaborative environment.

Created: 2025-01-24