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 : Virtual

Job 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.