Data Engineer

SUMMARY:
I am working with an extremely dynamic company to fill their need for Data Engineers. This client of mine is in Consulting and offer permanent opportunities. They invest in their staff and a work life balance is very important for them. The role is 70% remote and 30% office for some team work. Candidates can either be based in Cape Town or in Gauteng.

POSITION INFO:

I am working with an extremely dynamic company to fill their need for Data Engineers. This client of mine is in Consulting and offer permanent opportunities. They invest in their staff and a work life balance is very important for them. The role is 70% remote and 30% office for some team work. Candidates can either be based in Cape Town or in Gauteng.

• Tertiary degree, diploma or certificate in a related field (BSc Computer Science, B.IT or Informatics related degrees)
• 8-10 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 (DBMS) 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, MapReduce 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:
o Tableau, Power BI, strong math skills (e.g. statistics, algebra), Scala, Python or R.

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