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Data Architect/Engineer

2 months ago

Annapolis, United States Booker DiMaio, LLC Full time
Job DescriptionJob Description3 days/week onsite in Annapolis, MD 21401
2 days/week remote

Technical Skills:
  1. Power BI
  2. Tableau
  3. Azure Synapse
  4. Azure Data Factory
  5. Azure Blob Storage
  6. Azure Databricks
  7. Microsoft Fabric
  8. One Lake
Scope of Work:

In need of two Hybrid Data Architects/Engineers. 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 and working with conventional data warehouse technologies to devise plans that support designing data warehouse solutions in alignment with initiatives.


Experience & Capabilities:
  1. Database and analytical skills.
  2. Ability to query source data.
  3. Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing Extensible Markup Language (XML) and Structured Query Language (SQL).
  4. Knowledge of scripting languages, such as Python, and the ability to automate repetitive tasks in Azure.
  5. Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel.
Ability to:
  1. Work productively and maintain effective working relationships with peers, end users, vendor development staff, and all levels of management and Judicial personnel.
  2. Critically think and problem solve,
  3. Provide excellent communication and mentoring needs,
  4. Quickly evaluate, learn and prototype new technologies.
  5. Write optimized SQL queries and manage databases, as Azure data analysts frequently interact with Azure SQL database and other SQL-based services.
Experience with:
  1. BI best practices, relational structures, dimensional data modeling, structured query language (SQL) skills, data warehouse and reporting techniques.
  2. Dimensional modeling, STAR schema design, Snow fake schema design, slowly changing dimensions, confirmed dimensions.
  3. 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.
  4. Designing and implementing database models, schemes, and databases to support efficient data storage, retrieval, and analysis.
  5. Monitoring and optimizing data systems, data lifecycle, and infrastructure to ensure performance, scalability, and integrity.
  6. Designing and implementing ETL procedures for intake of data from multiple source systems; as well as ensure data quality and cleansing is verified.
  7. Normalization process
  8. Performing the design and extension of data marts, meta data, and data models.
  9. Ensuring all data warehouse architecture codes are maintained in a version control system.
  10. Advanced experience with technologies such as SQL Server 2016 or above, as well as with Azure data factory, SSIS and stored procedures
  11. Advanced experience developing codes, testing for quality assurance, administering RDBMS.
  12. High proficiency in dimensional modeling techniques and their applications

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