and cloud) is essential. Exposure to UNIX and SQL (DB2, MS SQL and Netezza) and Oracle Exposure to Azure Senior Data Engineer, DB2, MSSQL, Netezza, Oracle, UNIX, Azure Cloud
experience is advantageous. Experience with Windows-SQL, SLES-HANA, Sybase, and MAXDB. Proficient in SAP and/or business continuity planning. Knowledge of MS SQL Server, Oracle, SAP ASE, DB2, and SAP HANA. Familiarity Knowledge of Microsoft Server 2008-2022, Linux, Unix (including virtualization solutions: VMWare, Hyper-V)
experience is advantageous. Experience with Windows-SQL, SLES-HANA, Sybase, and MAXDB. Proficient in SAP and/or business continuity planning. Knowledge of MS SQL Server, Oracle, SAP ASE, DB2, and SAP HANA. Familiarity Knowledge of Microsoft Server 2008-2022, Linux, Unix (including virtualization solutions: VMWare, Hyper-V)
status updates using Agile methodology. Maintain professional working relationships. Build trust by delivering 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
working relationships by maintaining a helpful and professional attitude Build trust by delivering on commitments / Load Experience with database concepts and SQL, PL/SQL Experienced at Data Models – Schemas / 3rd Normal complexity Technical / Professional Knowledge Microsoft Office Microsoft SQL, PL/SQL ETL skills (e.g. Abinitio Managing Work Quality Orientation Technical/Professional Knowledge and Skills Employment Equity Preference
working relationships by maintaining a helpful and professional attitude Build trust by delivering on commitments / Load Experience with database concepts and SQL, PL/SQL Experienced at Data Models – Schemas / 3rd Normal complexity Technical / Professional Knowledge Microsoft Office Microsoft SQL, PL/SQL ETL skills (e.g. Abinitio Managing Work Quality Orientation Technical/Professional Knowledge and Skills Employment Equity Preference
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
programming languages such as Java, C#, Golang, Python and SQL.
Technical Knowledge
Golang, Python, TypeScript, JavaScript, Angular and SQL. Professional Knowledge
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