

Azure Data Warehouse Developer (PA Local Only)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Warehouse Developer, requiring over 5 years of experience, a 4-year degree in computer science, and expertise in SQL Server, Azure Synapse, ETL/ELT processes, and Azure DevOps. Contract length and pay rate are unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
600
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ποΈ - Date discovered
August 29, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Harrisburg, PA
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π§ - Skills detailed
#Code Reviews #"ETL (Extract #Transform #Load)" #Synapse #BI (Business Intelligence) #Documentation #Computer Science #Databases #SSIS (SQL Server Integration Services) #Classification #DevOps #Azure DevOps #Data Mining #Deployment #Data Warehouse #Scala #SQL Server #Azure #SQL (Structured Query Language) #Data Engineering #Data Analysis
Role description
Required skill:
β’ 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.
β’ Experience producing ETL/ELT using SQL Server Integration Services and other tools.
β’ Experience with SQL Server, T-SQL, scripts, queries.
β’ 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
β’ Experience with data formatting, capture, search, retrieval, extraction, classification, quality control, cleansing, and information filtering techniques.
β’ Experience with data mining architecture, modeling standards, reporting and data analysis methodologies.
β’ Experience with data engineering, database file systems optimization, APIs, and analytics as a service.
β’ Analyzing and translating business requirements and use cases into optimized designs and developing sound solutions.
β’ Advanced knowledge of relational databases, dimensional databases, entity relationships, data warehousing, facts, dimensions, and star schema concepts and terminology.
β’ 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.
β’ Ability to balance work between multiple projects and possess good organizational skills, with minimal or no direct supervision.
β’ Demonstrated ability to communicate and document clearly and concisely
β’ Ability to work collaboratively and effectively with colleagues as a member of a team.
β’ Ability to present complex technical concepts and data to a varied audience effectively.
β’ More than 5 years of relevant experience.
β’ 4-year college degree in computer science or related field with advanced study preferred.
Required skill:
β’ 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.
β’ Experience producing ETL/ELT using SQL Server Integration Services and other tools.
β’ Experience with SQL Server, T-SQL, scripts, queries.
β’ 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
β’ Experience with data formatting, capture, search, retrieval, extraction, classification, quality control, cleansing, and information filtering techniques.
β’ Experience with data mining architecture, modeling standards, reporting and data analysis methodologies.
β’ Experience with data engineering, database file systems optimization, APIs, and analytics as a service.
β’ Analyzing and translating business requirements and use cases into optimized designs and developing sound solutions.
β’ Advanced knowledge of relational databases, dimensional databases, entity relationships, data warehousing, facts, dimensions, and star schema concepts and terminology.
β’ 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.
β’ Ability to balance work between multiple projects and possess good organizational skills, with minimal or no direct supervision.
β’ Demonstrated ability to communicate and document clearly and concisely
β’ Ability to work collaboratively and effectively with colleagues as a member of a team.
β’ Ability to present complex technical concepts and data to a varied audience effectively.
β’ More than 5 years of relevant experience.
β’ 4-year college degree in computer science or related field with advanced study preferred.