Responsibilities and duties (include but not limited to)
Responsible for management Client's managed Database systems
Expected to troubleshoot database issues and work with applications teams on performance troubleshooting and optimization
Maintenance, administration, troubleshooting, installation, and configuration of database systems.
Implement database monitoring system
Assist with the certification, upgrading and patching of all database products
Automation of operational tasks and training of Operators to manage L1 and L2 alerts
Automated custom report generation for proprietary systems
Education, Skills and background (incl. Education and Experience Requirements)
2-3 years of experience working on MSSQL databases
Experience with a wide range of relational, unstructured, and time-series database technologies. For example: Kdb+, MySQL, Elastic, InfluxDB, Innodb, Vertica, Postgres and MongoDB
Experience working with application teams to troubleshoot performance issues
Experience working with Linux,Windows, Terminal, PowerShell and Ansible
Scripting with Python and Bash
Clustering, Geoclustering, Encryption, and Replication
Ability to analyze and diagnose problems and effectively lead to system recovery
Clear verbal and written communicator
Creative self-motivated thinker with out of the box ideas who is keen to contribute ideas, share knowledge, and help others develop
Driven to develop own skills and knowledge
Used to work with ticketing systems such as JIRA or Service No
Has good knowledge of Microsoft SQL Server (MSSQL) but is not a 1-trick pony who only knows that and nothing else.
Has strong Linux/Unix/Python/Bash skills in addition to Windows related skills which will come as being an MSSQL expert
Has knowledge of at least a few of the following additional types of database/big-data platforms:
Has DevOps mindset/skillset which includes a strong focus on coding/automation and not just administration .
Knows how to instrument, monitor, maintain, databases (e.g., with Nagios, or similar monitoring tools)
- provided by Dice Associated topics: data administrator, data analyst, data quality, data warehousing, database, etl, erp, hbase, mongo database, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.