Data Warehouse Architect/Engineer
7 days ago
Job Title: Hybrid Data Architects/Engineers
Location: Maryland, USA (Hybrid)
Quantum Strides LLC is a leading provider of Integrated Workplace Management Solutions (IWMS) specializing in solutions for Real Estate and Asset management, Capital Projects, Space & Move management, Operations & Maintenance, and Sustainability Solutions.
Our company is headquartered in the Washington DC metro area and has a workforce in the United States, Canada, and India, enabling us to serve clients across diverse geographical regions. We are a partner of choice for several Fortune 500 clients and large System Integrators.
About the Job:
The Hybrid Data Architects/Engineers will be responsible for designing and building data warehouse solutions, working with conventional data warehouse technologies to devise plans that support designing data warehouse solutions in alignment with the client's initiatives.
Key Responsibilities:
Design and build data warehouse solutions using conventional data warehouse technologies.
Develop plans to support designing data warehouse solutions in alignment with client initiatives.
Requirements:
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, ensuring 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.
Azures architecture 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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