Key Responsibilities
- Analyze and manage large data sets using a range of SQL and noSQL tools and techniques.
- Configure ETL processes, data mappings and transformations to orchestrate data integrations.
- Be part of a team managing data warehouses and other databases.
- Use industry standard data analytics tools to create insights/ visualisations.
Qualification & Experience
- A university degree in Computer Science or any relevant field.
- 2- 4 years of experience in using using industry standard tools and techniques to manage databases, data warehouses, and data lakes such as MySQL, MongoDB, AWS Aurora, Azure SQL Database, Azure Synapse, Azure Data Lake, Azure Data Factory, Azure Storage Explorer.
- Knowledge of algorithms and data structures such as data mining, OLAP, structured, semi-structured, and no structured data.
- Knowledge of data warehouse concepts and ETL processes such as enterprise data warehouse, dimensional modelling, decision support systems, data profiling and cleansing.
- Experience using data visualisation / Business Intelligence / reporting tools such as PowerBI, WebFocus, SSRS, Jasper would be considered an asset.
- Experience using SQL, T-SQL, and other industry standard tools to build and manage databases and data warehouses such as Studio 3T, MySQL Workbench, SSMS, Azure Data Studio.
- Possess excellent communication skills.
- Problem solver by nature who can work with complex functional requirements.
- Passion for technology and a desire to learn and personally grow own career.
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