Primary Duties and Responsibilities:

The Data Engineer will have a knack for data analysis, data manipulation and data modelling. The consultant will be responsible for understanding and driving the overall technical vision and planning of a client's organisation and translating business needs into technical strategy.

Required Qualifications:

• Tertiary degree, diploma or certificate in a related field (BSc Computer Science, B. IT or Informatics related degrees).
• DP-203: Data Engineering on Microsoft Azure Certification.

Experience and Knowledge:

• 5- 8 years’ working experience as a Data Engineer / Database Developer.
• Experience in data mining, large scale data modelling and business requirements gathering/analysis.
• Understanding and working experience in data integration and transformation.
• Experience implementing data modelling methodologies like Dimensional Modeling and / or Data Vault.
• Working knowledge of data quality processes and master data management.
• Experience implementing design support systems using Database Management Systems such as SQL Server or Oracle.
• Proficiency in designing and implementing data integration and ETL solutions using SSIS, Azure Data Factory and / or SQL Server stored procedures.
• Understanding of several Big Data technologies like Hadoop, Map Reduce and Spark as well as event processing or message ingestion services like Kafka, Event Hub and Stream Analytics.
• Experience in database query languages such as T-SQL, ANSI SQL, PL/SQL.
• Some experience developing software solutions using Visual Basic, C++, C#, Java or Python.
• Experience using SQL Server management Studio and Visual Studio.
• Experience implementing solutions using Azure SQL databases, Azure Synapse (Previously SQL Data Warehouse), Azure Storage Accounts (Data Lake) and / or Databricks.
• Analytical mind and business acumen
• Additional skills in the following will be taken into consideration: Tableau, Power BI, strong math skills (e.g. statistics, algebra), Scala, Python or R.