Posted:1 day ago|
Platform:
On-site
Full Time
• 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.
• 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.
• 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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