Data Architects/Engineers | Technical Lead

20 hours ago


Annapolis, Maryland, United States Omm IT Solutions Full time
About the Position

The Hybrid Data Architects/Engineers will provide Data Warehouse Architect/Engineer services to serve as the primary resource(s) responsible for designing and building a data warehouse solution. The candidate shall be responsible for participation in all aspects of DW and ETL process design, creation, and specification for components. Additionally, they will provide services in coordination with technical, functional, and management representatives from Client and the AOC.

Key Responsibilities:
  • Participate in all aspects of DW and ETL process design, creation, and specification for components.
  • Provide services in coordination with technical, functional, and management representatives from Client and the AOC.
Requirements:
  • Bachelor's degree with at least 5 years of experience.
  • Database and analytical skills.
  • Ability to query source data.
  • Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing Extensible Markup Language (XML) and Structured Query Language (SQL).
  • Knowledge of scripting languages, such as Python, and the ability to automate repetitive tasks in Azure.
  • Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel.
Preferred Skills:
  • BI best practices, relational structures, dimensional data modeling, structured query language (SQL) skills, data warehouse and reporting techniques.
  • Dimensional modeling, STAR schema design, Snow fake schema design, slowly changing dimensions, confirmed dimensions.
  • Designing and building BI solutions by monitoring and tuning queries and data loads, addressing user questions concerning data integrity, data mapping, monitoring performance, and communicating functional and technical issues.
  • Designing and implementing database models, schemes, and databases to support efficient data storage, retrieval, and analysis.
  • Monitoring and optimizing data systems, data lifecycle, and infrastructure to ensure performance, scalability, and integrity.
  • Designing and implementing ETL procedures for intake of data from multiple source systems; as well as ensuring data quality and cleansing is verified.


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