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Data Architect

2 months ago


Fort Lauderdale, United States SmartIPlace Full time
Job DescriptionJob DescriptionRole: Data Architect

Location = Onsite. Annapolis, MD

Visa- Any

References = 3, from project/work completed in the resume- must

Other = Proof of education and certifications- must

SKILLS:

  1. Database and analytical skills.
  2. Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing Extensible Markup Language (XML) and Structured Query Language (SQL).
  3. Knowledge of scripting languages, such as Python, and the ability to automate repetitive tasks in Azure.
  4. Ability to:
    • Work productively and maintain effective working relationships with peers, end users, vendor development staff, and all levels of management and personnel.
    • Critically think and problem solve,
    • Provide excellent communication and mentoring needs,
    • Quickly evaluate, learn and prototype new technologies.
    • Write optimized SQL queries and manage databases, as Azure data analysts frequently interact with Azure SQL database and other SQL-based services.

EXPERIENCE:

    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, Snowflake 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 ensuring 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
    13. Azure s architecture in order to structure optimized data workflows.
    14. The following tools:
      • Power BI
      • Tableau
      • Azure Synapse
      • Azure Data Factory
      • Azure Blob Storage
      • Azure Databricks
      • Microsoft Fabric
      • One Lake