Job Description :
This is Reshita(Ruby) from TechnoGen Inc. Please check the below role and if you are interested then share your updated resume with contact information so that we can discuss more to move forward ASAP. Please reach me at or . Also please provide if you have any references.
Data Systems Engineer
Virgnia Beach, VA/Coronado, CA
FTE- Salary based on exp.
Security Clearance: Secret security clearance prior to the start of work.

The contractor shall provide enterprise support for discovery and synthesis of disparate external and internal data sources, including full-stack data integration, data mesh, engineering data pipelines, data ETL/ELT (Extract, Transform, Load and Extract, Load, Transform, etc.), and Application Programming Interface (API) support, as well as analysis of requirements and systems flow. The contractor shall determine data systems architecture, software, database, data storage, and usage requirements while engineering solutions to facilitate agile DataOps and DevSecOps processes.

The position will act as data integration subject matter expert and will work with both on- premises and cloud-based data environments to synthesize and integrate data while engineering and managing the corresponding data pipelines and infrastructure. This position will be part of the NSW Data Engineering Team.

The contractor will support administrative and governance requirements such as agreements, policies, procedures, drawings, data pipelines, user training and resources, Remedy change management and incident ticketing, Azure DevOps and other Kanban boards and backlogs, and cybersecurity accreditations.

The Contractor will support requirements for enterprise data integration to include the NDE, Microsoft Azure, Advana/Jupiter, Neptune web application, business systems, and other data environments for the integration of disparate data sources.

The Contractor shall have the following security clearance, certifications, skill sets, and experience to support the contractual tasks as listed below:

        • Five (5) or more years of experience within the past ten (10) years in data integration, data engineering, data operations (DataOps), data warehouse modeling and performance, data quality, moving data between systems, managing data warehouses, building data pipelines in on- premises and cloud environments, data visualization, data security, web services and RESTful Application Programming Interfaces (API), and serving data to end users.
        • Five (5) or more years of experience within the past ten (10) years in creating and maintaining data engineering infrastructure, ETL/ELT, merging, manipulating, transforming, cleansing, and validating data, and experience in databases, data stores, data marts, data lakes and data warehouse design and operations, report writers, scripting, ad hoc querying, online analytical processing (OLAP), online transactional processing (OLTP), data visualization, data mining, and statistical analysis, excellent analytical and problem solving skills, and a fundamental knowledge of working with structured, unstructured, and semi structured data.
        • Five (5) or more years of experience within the past ten (10) years in all of the following: Structured Query Language (SQL), Microsoft (MS) C#.NET, MS SQL Server, MS SQL Server Integration Services (SSIS), MS SQL Server Reporting Services (SSRS), MS ASP.NET, MS Internet Information Server (IIS), MS Visual Studio, MS Power BI, and Microsoft SQL Server BI stack including SQL Server (2012 +), Python, and JavaScript.

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