Data Modeler

Job Title : Data Modeler / Lead Experience : 5-15 yearsJob Summary : An experienced Data Modeler / Lead to design, develop, and maintain data models that support business intelligence and data analytics initiatives. The ideal candidate should have a strong background in data modeling, data warehousing, and data governance. Responsibilities: Data Modeling: Design, develop, and maintain conceptual, logical, and physical data models. Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions. Data Governance: Develop and maintain data governance policies, procedures, and standards. Data modeling techniques for data warehouses primarily include dimensional modeling (star, snowflake schemas) and relational modeling (3NF) Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality. Data Quality: Develop and implement data quality checks and data validation rules. Required Skills : Data Modeling: In-depth knowledge of data modeling concepts, including entity-relationship modeling, dimensional modeling, and data vault modeling. Data Warehousing: Strong understanding of data warehousing concepts, including ETL, data marts, and data lakes. Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance. Communication: Excellent communication and collaboration skills. Tools: Proficiency in data modeling tools, such as ERwin, Informatica PowerDesigner, or IBM InfoSphere Data Architect. Preferred Skills: Certifications: Relevant certifications, such as Certified Data Modeler (CDM) or Certified Data Warehouse Architect (CDWA). Big Data: Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases. Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud. Programming: Experience with programming languages, including SQL, Python, or R

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