Database Consultant/Administrator
At least 3 years experience in database admin MS-SQL)
In depth understanding of relevant Database Technology architecture
Strong T-SQL or abilities
Problem Solver
Vendor Certification in Database Administration is advantageous
Proficient
to 5 years of experience in data engineering, database administration, or a related field. Proficiency Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with Knowledge of data modeling, data architecture, and database design principles. Strong programming skills in maintainability. Database Design and Administration: Design, implement, and maintain databases to support the reliability of databases through monitoring, backup, and recovery procedures. Tune database performance
to 5+ years of experience in data engineering, database administration, or a related field.
codebase. Database Design and Optimization: Assist in the design and implementation of database schemas schemas, tables, indexes, and other database objects. Optimize database performance through efficient query and resolve issues related to PL/SQL code and database performance. Develop and maintain microservices-based and maintain documentation for PL/SQL code and database structures Create Swagger/YAML definitions. Generate SQL queries. Strong understanding of relational database concepts and SQL. Familiarity with version control
Analyst to manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business improvement techniques and business strategies. Database Management : Maintain database integrity, monitor performance Develop processes for optimizing database security, manage database access, troubleshoot errors, and and recommend emerging database technologies. Custom Data Models : Develop custom data models to apply to
Analyst to manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business improvement techniques and business strategies. Database Management : Maintain database integrity, monitor performance Develop processes for optimizing database security, manage database access, troubleshoot errors, and and recommend emerging database technologies. Custom Data Models : Develop custom data models to apply to
ies:
ies:
testing, and problem-solving
has a particular focus on the use of digital / database driven design tools for generation of the engineering equipment specifications with a specific focus on database driven design tools. Generation and compilation of engineering lists with a specific focus on database driven design tools. Develop instrumentation drawings on the use of database driven design tools. Development of templates for use in database driven design engineering and equipment specifications utilising database driven design tools. Preparation of drawing deliverables