Overview
Skills
Job Details
Architect / Azure DW Developer position will support both the existing business and reporting requirements of individual DOH / DDAP systems and program areas, and the construction of a modern data warehouse that will serve DOH / DDAP from an enterprise perspective.
The primary objective of this engagement is for the selected candidate to serve as the data warehouse developer supporting the analysis and reporting needs of the DOH / DDAP, and the design and construction of a modern EDW in Azure.
The Architect can design, develop, and implement data and ELT application infrastructure in Azure to provide reliable and scalable applications and systems to meet the organization s objectives and requirements. The Architect is familiar with a variety of application and database technologies, environments, concepts, methodologies, practices, and procedures
The candidate must have significant, hands-on technical experience and expertise with Azure, Azure Delta Lake, Azure Databricks, Azure Data Factory, Pipelines, Apache Spark, and Python.
Significant, hands-on technical experience and expertise with the design, implementation and maintenance of business intelligence and data warehouse solutions, with expertise in using SQL Server and Azure Synapse.
Experience producing ETL/ELT using SQL Server Integration Services and other tools.
Experience with SQL Server, T-SQL, scripts, queries.
Experience as an Azure DevOps CI/CD Pipeline Release Manager who can design, implement, and maintain robust and scalable CI/CD pipelines, automate the build, test, and deployment processes for various applications and services, troubleshoot and resolve pipeline issues and bottlenecks, and has experience with Monorepo-based CI/CD pipelines
Experience with data formatting, capture, search, retrieval, extraction, classification, quality control, cleansing, and information filtering techniques.
Experience with data mining architecture, modeling standards, reporting and data analysis methodologies.
Experience with data engineering, database file systems optimization, APIs, and analytics as a service.
Analyzing and translating business requirements and use cases into optimized designs and developing sound solutions.
Advanced knowledge of relational databases, dimensional databases, entity relationships, data warehousing, facts, dimensions, and star schema concepts and terminology.
Creates and maintains technical documentation, diagrams, flowcharts, instructions, manuals, test plans, and test cases. Follows established SDLC best practices, documents code and participates in peer code reviews.
Ability to balance work between multiple projects and possess good organizational skills, with minimal or no direct supervision.
Demonstrated ability to communicate and document clearly and concisely
Ability to work collaboratively and effectively with colleagues as a member of a team.
Ability to present complex technical concepts and data to a varied audience effectively.
More than 5 years of relevant experience.
4-year college degree in computer science or related field with advanced study preferred.
PREFERRED EXPERIENCE
Experience working in the public health or healthcare industry with various health data sets.