GDIT is seeking Data Cloud Engineer. This position focuses on Azure and Microsoft technology consulting for applications and analytics, Power BI, and the Power Platform plus Dynamics 365. This role is for someone who is passionate about developing innovative analytics solutions to help organizations drive strategic business outcomes and to enable data-driven insights. You will be responsible for client delivery, complex solutioning, and knowledge management. Design, Build, and Modify existing business-tier components, Web applications using Microsoft platform technologies and Azure in consulting capacity (Azure Data Factory for middle tier integration).
The overall program supports the sustainment, operations, maintenance, and enhancement of the D365-based systems and their integrations with the VA’s enterprise supporting Customer Relationship Management (CRM) suite utilized by 70,000 VA employees. Previous experience working with MS Dynamics 365 / Dynamics CRM /Dynamics Customer Experience (CE) applications) is required. Experience working in support of Federal, State, or Tribal Governments, or a health care client is highly desired.
Azure PaaS services and functions deployment in the development and data spaces
Application development in azure ecosystem using #.net Core, #WEB API, #Azure, algorithms and data structures
Design and implement end-to-end data solutions (storage, integration, processing, visualization) in Azure
Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL
Implement ad-hoc analysis solutions using Azure Data Lake Analytics/Store, HDInsight
Architect and implement ETL and data movement solutions using Azure Data Factory, SSIS
Design and implement streaming solutions using Kafka or Azure Stream Analytics
Design and develop data visualizations leveraging Data from various Azure tools, Splunk, Science Logic and produce reports in Power BI, Science Logic, Tableau etc.
Prepare documentation and architectural designs
Propose architectures that consider cost/spend in Azure and develop recommendations to right-size Azure data infrastructure
Design & implement data security and governance policies and standards
Work as part of a team to design and develop analytics platform solutions
Implement Azure data services including Azure Data Lake, Azure Data Factory and Azure Analysis Services. May also include Snowflake or Azure SQL Data Warehouse
Design and develop scalable data ingestion frameworks to transform a wide variety of datasets
Research, analyze, recommend and select technical approaches for solving challenging and complex development and integration problems
Assist in designing multi-phased Azure data strategies, including designing multi-phased implementation roadmaps
Serve as a subject matter expert in Azure analytics platforms for larger team and contribute back to community
Required Skills and Experience
Bachelor’s Degree Computer Science, Engineering, Mathematics and 7+ years related experience, or equivalent combination of education and experience
Experience using advanced software and system design skills in an environment using Microsoft Azure (Azure SQL Managed Instance, Data Factory, Azure Monitoring, Azure DevOps, Event Hubs, Azure AD Security, Azure Virtual Machines, Azure Monitoring/Log Analytics)
4+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools and, scripting
2+ years real-word experience implementing production Azure or science logic/ cloud telemetry analytics platforms
Experience with Azure SDKs and programmatic access services
Experience writing scripts using MS Powershell
Experience writing complex SQL queries (to clean and transform data)
Work with similar Microsoft on-prem data platforms, specifically SQL Server and related technologies such as SSIS, SSRS, or SSAS
Strong knowledge of database, storage, collection and aggregation models, techniques and technologies – and how to apply them in business
Working experience with version control platforms
Working knowledge of agile development including DevOps concepts
Experience building data solutions using C# and/or Python
Experience preparing data for Data Science and Machine Learning use cases
Designing and building Data Pipelines using streams of IoT data
Knowledge of Lambda and Kappa architecture patterns
Agile development process experience or Scrum Master Experience
Demonstrated ability to document, measure, and improve business processes
Understanding of business process mapping and re-engineering
ATTRIBUTES FOR SUCCESS
Demonstrated excellent written/oral communication skills, technical documentation skills, user liaison skills, and personal interaction abilities
The ability to apply such methods to solve business problems using one or more Azure data services in combination with building data pipelines, data streams, and system integration
Excellent time management and organization skills
Comfortable with rapidly changing priorities
Ability to think analytically and possesses a familiarity with quantitative measurement
Comfortable and effective in presenting to large audiences
The likely salary range for this position is $69,888 - $104,832. This is not, however, a guarantee of compensation or salary; rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.