Azure Database Engineer

Azure Database Engineer Location: Washington, DC 20530 Work Arrangement: 100% Onsite (DOJ ) Clearance: Public Trust (U.S. Citizen or Green Card holder; 3+ years U.S. residency) Contract: 6 months with possible extension Hours: 40 hrs/week, standard schedule Qualifications: • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. • Key Responsibilities: • Administer and manage Azure SQL Databases, Azure Blob Storage, and Azure Data Lake, ensuring high availability, security, and performance. • Optimize cloud-based databases for cost, performance, and scalability within the Azure ecosystem. • Automate database provisioning and management using Azure CLI, PowerShell, and AZ Copy. • Monitor and resolve database performance issues, ensuring optimized query performance and uptime. • Assist in database migrations to Azure SQL Database and ensure smooth transitions. • Design and implement data pipelines using Azure Databricks to enable scalable, efficient ETL processes. • Develop and maintain Power BI dashboards, reports, and visualizations to provide actionable insights to business stakeholders. • Use R Studio to build, optimize, and maintain data models and perform statistical analysis on large datasets. • Support the administration of Apache Tomcat servers that host web applications and data services. • Troubleshoot and resolve issues related to application performance, security, and integration with databases. • Document database configurations, troubleshooting steps, and standard operating procedures for internal reference. • 3-5 years of experience in database administration, data engineering, or a related field with hands-on experience in SQL Server, Azure, Power BI, Data Bricks, and Apache Tomcat. • Strong knowledge of SQL Server Database Administration, including backup, recovery, performance tuning, and security. • Hands-on experience with Azure SQL Database, Azure Blob Storage, and Azure Data Lake. • Experience with Azure Databricks for data engineering, ETL processes, and big data analytics. • Proficiency in R Studio for data analysis, statistical modeling, and scripting. • Experience developing and managing Power BI dashboards and reports. • Familiarity with Apache Tomcat for web application and data service management. • Strong troubleshooting and performance optimization skills for database systems and data pipelines. • Ability to work effectively in cross-functional teams, collaborating with developers, analysts, and business users. • Clear and concise communication skills for documenting processes, troubleshooting, and working with non-technical stakeholders. Desirable Skills (Nive to have) • Experience with Azure DevOps for continuous integration and deployment (CI/CD). • Familiarity with Python or PowerShell for automation and scripting in cloud environments. • Knowledge of Data Governance and best practices for managing data securely. • Experience with data migration to cloud environments (especially from on-prem SQL Server to Azure SQL Database). • Microsoft Certifications in Azure, SQL Server, or Power BI are a plus.