migration, integration, and ETL processes. Exp with SQL, NoSQL data storage, Snowflake, Databricks, Apache relational databases, data warehouses, data lakes, and MS SQL databases. The post Database Architect – Sandton
bonus. SQL databases and T-SQL experience. Management of transactions and data in code in SQL. Source
methodology and data analysis Experience with ETL, SQL, PL/SQL, data modeling, and scripting Proven track record Knowledge: Must have abinitio experience Microsoft SQL, PL/SQL ETL tools (e.g., Ab Initio, SSIS) Process scheduling
o Git (git-flow) o Spring Boot o JPA o Docker • SQL skills (MS SqlServer, Postgres etc) • Strong back back end and front-end development skills • Strong SQL skills, especially on MSSQL • Experience with workflow
back end and front-end development skills • Strong SQL skills, especially on MSSQL • Experience in: o Terradata
teams. Experience with SQL Server and SQL databases. Knowledge regarding SQL queries. Experience with
Excellent data analysis and exploration using T-SQL, and strong SQL programming (stored procedures, functions) data warehouse modelling methodologies Microsoft SQL Server 2005/2008/2008R2/2012/2014/2019, performance
methodologies. Database systems and query optimization (SQL, NoSQL). RESTful API design and integration. Cloud Control: GitLab/GitHub Databases: PostgreSQL, Oracle, SQL Monitoring Tools: Instana Containerization: Kubernetes
programming languages such as Java, C#, Golang, Python and SQL. Advanced experience in one or more of the following database technologies: Postgres, Mongo, Redis, DB2, MS SQL, Oracle. Technical Knowledge Advanced proficiency Golang, Python, TypeScript, JavaScript, Angular and SQL. Expertise in low-level programming and fixing problems
/ Load Experience with database concepts and SQL, PL/SQL Experienced at Data Models – Schemas / 3rd Normal Professional Knowledge Microsoft Office Microsoft SQL, PL/SQL ETL skills (e.g. Abinitio, SSIS) Process scheduling