Connecting Linkedin...

W1siziisimnvbxbpbgvkx3rozw1lx2fzc2v0cy9jyxn0awxszs9qcgcvymfubmvyx2rlzmf1bhquanbnil1d

Database Administrator

  • Location

    Malta

  • Sector:

    Igaming

  • Contract Type:

    Permanent

  • Salary:

    Attractive

  • Contact:

    Kristina Abela

  • Job Reference:

    5997

  • Published:

    about 1 month ago

  • Expiry:

    2020-03-11

  • Client Details:

    Castille

  • Consultant:

    Kristina Abela

  • Skills tags:

    Database Administration

A leading organisation is seeking a Database Administrator to work closely with the BI & Database Specialist with respect to the Data Strategy, IT and Software support.

Main Responsibilities

  • Assisting in the evaluation of data obtained from the operators.
  • Extracting, restore, importing and exporting of data in various database applications (MSSQL, MYSQL, ORACLE, etc…)
  • Developing, Testing and Implementing customized SSRS reports based on the users’ needs
  • Executing all regular transaction processes necessary to maintain operations records and databases
  • Assisting in implementation, testing, and validating data and software systems
  • Auditing data on a regular basis to ensure data integrity and quality
  • Assisting with ongoing data architecture processes and governance
  • Providing Helpdesk support

Job Requirements

  • B.Sc. Degree in Computer Science, IT or a related subject
  • SQL server experience with a strong relational database background.
  • Knowledgeable experience in the administration and performance tuning of application stacks including LAMP and MEAN
  • Knowledge of XML, XSD technologies will be considered an asset
  • Programming skills (in .NET technologies e.g. C#, ASP, etc.)
  • Working with cross functional teams, you should be comfortable communicating with developers and stakeholders on requirements, and making sure that the databases run in the most efficient manner
  • Microsoft certification considered a plus
  • The selected candidate should be highly analytical, driven to finding key insights through data mining large and complex data sets as required