including relational databases, data warehouses, data lakes, and MS SQL databases Lead the implementation architecture principles Expertise in data modelling and database design Understanding of data governance, quality
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Database Architect – Sandton Bachelor’s degree in Computer Science/ Information Systems/Business Management relational databases, data warehouses, data lakes, and MS SQL databases. The post Database Architect –
for managing and maintaining the organization's databases, ensuring their performance, availability, and blend of technical expertise and experience in database administration to support the data infrastructure company's databases. They are expected to be proactive in identifying and resolving database issues, optimizing Administrator will contribute to strategic planning for database infrastructure improvements and support the organization's Key Responsibilities: Database Management: Install, configure, and upgrade database management systems (DBMS)
Intelligence tools, database programming and reporting tools Responsible for day to day database development include the developmetn of queries, views and other database schema objects. Maintain data model schema within experience with relational database structures, multi-dimensional database and data warehouse design architecture
Angular etc.
- SQL Server or other Databases. Basic
database maintenance and creation.
- SQL
IoT, cloud platforms (Azure and AWS), Python, database design and agile frameworks. The ideal candidate vendors and technology partners. Database Design: Design and optimize database schemas, ensuring data integrity CI/CD pipelines. Expertise in database design, including SQL and NoSQL databases. Familiarity with front-end
JPA, Hibernate, and SOA-Architecture. Strong database management skills in SQL, DB2, and NoSql (Cassandra/MongoDB) Application Server experience. 5 years of relational database experience.
data in the bank's operational and analytics databases.
data in the bank's operational and analytics databases. Data Infrastructure: Build and manage scalable data infrastructure eg using Infrastructure and Databases (DB2, PostgreSQL, MSSQL, HBase, NoSQL, etc), Data collaboration with Data Modelers, create data models and database schemas on the Data Reservoir, Data Lake, Atomic and SQL. Experience with relational databases and NoSQL databases. Experience with cloud computing platforms Engineering (Azure , AWS, Google) Data Warehousing Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB)