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Data Management Specialist
| Company | Leidos |
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| Location | Washington, DC, USA |
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| Salary | $85150 – $153925 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field and 4+ years of relevant experience.
- 3+ years of experience working in data management, with hands-on experience in Azure, SQL Server, Power BI, Apache Tomcat, R Studio, and Data Bricks.
- Proficient in Azure Administration, including Azure SQL Database, Azure Blob Storage, and Azure Data Lake.
- Strong knowledge of SQL Server Database Administration, including performance tuning, backups, and restores.
- Experience working with Apache Tomcat for application deployments and integration.
- Practical experience with Power BI for report creation, dashboards, and data visualization.
- Proficiency in R Studio for data analysis and statistical modeling.
- Basic experience with Azure Databricks for data engineering and big data processing workflows.
- Ability to troubleshoot and resolve data management issues effectively.
- Strong teamwork abilities, with the capacity to communicate technical information to non-technical stakeholders.
- Good written and verbal communication skills for documenting processes and collaborating with team members.
Responsibilities
- Administer and support Azure cloud resources, including Azure SQL Database, Blob Storage, and Azure Data Lake, ensuring optimal functionality and performance.
- Manage and configure Azure-based solutions for data storage, security, and access control.
- Implement automation scripts for managing and provisioning Azure resources using Azure CLI and PowerShell.
- Monitor and optimize SQL Server instances for efficiency and reliability.
- Perform database backups, restore operations, and ensure database integrity.
- Assist with migrations and upgrades of SQL Server environments to cloud-based platforms (Azure SQL).
- Assist in the deployment and maintenance of applications using Apache Tomcat.
- Ensure Apache Tomcat servers are running optimally and troubleshoot any issues that arise.
- Contribute to the development of Data Bricks pipelines, helping to implement data transformation and data engineering processes.
- Work with data teams to build scalable ETL (Extract, Transform, Load) processes using Azure Databricks.
- Create and maintain Power BI reports, dashboards, and data visualizations that provide actionable insights to business teams.
- Collaborate with business users to understand their reporting needs and design intuitive visualizations that help with data-driven decision-making.
- Use R Studio for data analysis, statistical modeling, and generating insights from large datasets.
- Work with the data science team to build predictive models and statistical reports that meet business needs.
- Document processes, workflows, and configurations to ensure consistent and effective data management practices.
Preferred Qualifications
- Experience with Azure DevOps for continuous integration and deployment (CI/CD) in data management projects.
- Familiarity with automation tools (e.g., PowerShell, Python) for script-based management of data resources.
- Knowledge of Data Governance principles and best practices.
- Experience with data migration and cloud-based database management (particularly moving SQL Server databases to Azure SQL).
- Microsoft Certifications in Azure, Power BI, or SQL Server are a plus.
