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Data Architect
2 months ago
Only LOCAL TO MARYLAND, or Willing to go for F2F Interview
SKILLS, EXPERIENCE, & CAPABILITIES
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.
Experience with:
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 ensure data quality and cleansing is verified.
Normalization process
Performing the design and extension of data marts, meta data, and data models.
Ensuring all data warehouse architecture codes are maintained in a version control system.
Advanced experience with technologies such as SQL Server 2016 or above, as well as with Azure data factory, SSIS and stored procedures
Advanced experience developing codes, testing for quality assurance, administering RDBMS.
High proficiency in dimensional modeling techniques and their applications
Azure’s architecture in order to structure optimized data workflows.
The following tools:
Power BI
Tableau
Azure Synapse
Azure Data Factory
Azure Blob Storage
Azure Databricks
Microsoft Fabric
One Lake
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