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 : Virtual

Job Description:
•
• Key Responsibilities:
•
•
• Design, implement, and optimize data models for the data warehouse, ensuring alignment with business requirements.
• - Work extensively with
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• 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
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• Azure
•
• and
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• Databricks
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• 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
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• Data Modeler
•
• working in data warehouse environments.
• - Strong expertise with
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• IBM IDA (InfoSphere Data Architect)
•
• or similar data modeling tools.
• - Solid understanding of
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• Azure
•
• and
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• 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
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• Azure Synapse
•
• ,
•
• Azure Data Factory
•
• , and
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• 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.