Senior Database Administrator

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Company: Cynet Systems

Location: Richmond, VA 23223

Description:

Job Description:

Responsibilities:
  • Perform SQL Server Monitoring.
  • Perform SQL Server Daily Check.
  • Provide database support for scheduled deployments.
  • Provide database support for troubleshooting issues.
  • utomation of tasks to reduce required level of manual intervention.
  • Track database connections and log the information.
  • Enforced ISO security requirements and policies.
  • Conduct an audit of databases access.
  • utomate alerts for expired/expiring passwords for users in database administrator group.
  • Check for unauthorized membership to databaseadministrator group.
  • Report user access anomalies to ISO (Information Security Officer).
  • Upgrade older SQL versions to a supported SQL version to take advantage of new security features.
  • Management of OLTP and OLAP SQL Server environments.
  • Power BI administration and support.
  • Snowflake administration and support.
fter Hour Support:
  • We expect the consultant to be available as on-demand to support the existing Windows SQL server databases hosted in VITA.
  • The current DBA's will work to support the VITA in the event of any windows server, SQL server databases patches and upgrades occurs at least once or twice per month.
  • Perform database validations after VITA patching.
  • Troubleshoot non-standard job issues including extended delays and failures due to network latency issues, blocking and old code sets not being updated or optimized
  • fter-hour DBA support requested in advance for enhancements and break fixes
  • Perform unplanned database restore by working with VITA.
  • Perform data engineering activities on the cloud to support data integration, data storage, data consumption, and data governance initiatives.
  • Experience with AWS services including S3, Aurora, DynamoDB.
  • Configure DataManagement practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog, API Gateway, and AWS Lambda.
  • Leverage/Manage Datastores like Snowflake, SQL servers, RDS.
  • Implement a modern cloud datastore (Snowflake) to handle both structured and unstructured data.
  • Enable automation using scripting languages like Python or Node.js.
  • Provide support and training to end-users to enhance data literacy and tool usage within the cloud data ecosystem.
  • nalyze the data lifecycle of business processes to identify opportunities for automation, simplification, and implementing appropriate solutions.
  • Set up monitoring, logging, and alerting for cloud infrastructure to ensure system stability and performance.
  • Optimize deployment pipelines for Continuous Integration and Continuous Deployment (CI/CD).
  • Manage version control using tools like Github, Jenkins and AWS Code Pipeline.
  • Collaborate with senior team members and business stakeholders to deliver robust, cloud-based data solutions that improve customer experience.
  • Support data governance activities to ensure data reliability, quality, and compliance with standards.
  • ssist in designing scalable and resilient cloud engineering solutions aligned with evolving business needs.
  • Develop both front-end and back-end components for cloud-based data applications as needed.

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