Semperis

Data Warehouse Engineer

Semperis

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

CloudCyber SecurityETLTableau

About the role

  • Build and maintain a deep understanding of the data and analytics landscape at Semperis including data sources, data and analytic assets and products, analytic tools and software, and master data
  • Deploy and manage cloud data warehouse
  • Perform data warehouse maintenance, optimization and configuration tuning
  • Determine data design and development, including data architecture, modeling and ETL development
  • Create simple, flexible, and scalable data models to meet the wide range of business needs across the organization
  • Define and manage cloud data warehouse and big data technology standards, guidelines, and processes to ensure data quality
  • Oversee end-to-end cloud data warehouse and big data life cycle management activities

Requirements

  • Bachelor’s degree in Information Systems, Computer Science, Data Engineering, or related discipline and 8+ years of professional experience
  • Proven experience in data architecture, data warehouse, and/or data design
  • Demonstrated experience delivering scalable data warehousing products to support operational and analytical data needs for operational systems, data science, and analytics teams
  • Strong experience in designing scalable and enterprise-scale conceptual, logical, and physical data models
  • Strong knowledge & implementation experience of data warehousing concepts, data modeling techniques, and industry best practices
  • Demonstrated expertise in ELT patterns and processes, with a focus on scalable data pipeline development, data quality assurance, and data privacy management using modern tools such as dbt
  • Proven ability to implement robust data governance frameworks and ensure compliance with privacy standards across complex data ecosystems
  • Experience with Snowflake
  • Experience with one of the following BI reporting tools is a plus (i.e. Tableau, Power BI, etc.)
  • Solid technical and analytical skills with the ability to communicate across the organization and manage multiple priorities
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