Hybrid Data Architects/Engineers

Title: Hybrid Data Architects/Engineers

Location: Maryland, USA (Hybrid)

Quantum Strides LLC is a leader in Integrated Workplace Management Solutions (IWMS) space specializing in solutions for Real Estate and Asset management, Capital Projects, Space & Move management, Operations & Maintenance and Sustainability Solutions. Headquartered in the Washington DC metro area Quantum Strides has workforce in the United States, Canada and India helping us serve our clients across diverse geographical regions. We are a partner of choice for several Fortune 500 clients and large System Integrators.

Learn more about us at: www.quantumstrides.com

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 the client's initiatives.

Preferred skills, experience, and capabilities:
a. Database and analytical skills.
b. Ability to query source data.
c. Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing Extensible Markup Language (XML) and Structured Query Language (SQL).
d. Knowledge of scripting languages, such as Python, and the ability to automate repetitive tasks in Azure.
e. Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel.
f. Ability to:
(1) Work productively and maintain effective working relationships with peers, end users, vendor development staff, and all levels of management and 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.
g. 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
(13) Azures architecture in order to structure optimized data workflows.
(14) The following tools:
i Power BI
ii Tableau
iii Azure Synapse
iv Azure Data Factory
v Azure Blob Storage
vi Azure Databricks
vii Microsoft Fabric
viii One Lake