Data Modeler

United States

Saama

Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), machine learning (ML) and advanced-analytics, accelerating your time to market.

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Requirements
  • 12+ years of experience in Conceptual, Logical and Physical Data Modeling experience.
  • Erwin Data Modeling Software hands-on experience
  • Create database objects.
  • Create, review and tune SQL scripting.
  • Must have 1+ year of experience in cloud environment (such as AWS, Azure or Google)
  • Data analysis and Database design experience.
  • Knowledge understanding of different database platforms, such as, Oracle, Postgres, Hadoop, Snowflake, Netezza, DB2.
  • Proven experience in a data warehousing & Business intelligence
  • Good knowledge of metadata management, data modeling, and related tools (Erwin, ER Studio, Oracle Designer or PowerDesigner)
  • Data Warehouse - Experience in data warehouse design and development, Experience with data warehouse, datalake, and enterprise big data platforms in multi-data-center contexts required.
  • Knowledge and in depth exposure to modeling strategies, such as relational (logical, physical), star, snowflake, unstructured, to support OLTP, Warehousing and Data Marts, Data Lakes, MDM).
  • Excellent organization, analytical, and communication skills.
Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers. Physical Demands This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.  Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. EEO Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Big Data Business Intelligence Data analysis Data warehouse Data Warehousing DB2 Hadoop Oracle PostgreSQL Snowflake SQL

Perks/benefits: Career development

Region: North America
Country: United States

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