Senior Data Engineer

SUMMARY:
The Role:

We are looking for a Data Engineer who is a highly analytical person with a knack for data analysis, manipulation and modelling. Critical thinking and problem-solving skills are essential for interpreting data. The candidate should display a passion for data analysis and manipulation.

Responsible for u...

POSITION INFO:
The Role:

We are looking for a Data Engineer who is a highly analytical person with a knack for data analysis, manipulation and modelling. Critical thinking and problem-solving skills are essential for interpreting data. The candidate should display a passion for data analysis and manipulation.

Responsible for understanding and driving the overall technical vision and planning of an organisation and translating business needs into technical strategy.

An understanding of inter-dependencies between various systems and infrastructure is key to ensure alignment to the overall strategy.

The ideal candidate will also be involved in designing and building data management solutions, developing architecture to analyse and process data in a manner that adds value to the organisation.

Requirements:

• Tertiary degree, diploma or certificate in a related field (BSc Computer Science, B.IT or Informatics related degrees).
• 8-10 yearsâ?? 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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