Senior Data Engineer

2 weeks ago

Centurion, South Africa CF Consulting Full time

The Data Engineer will have a knack for data analysis, data manipulation and data modelling and 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:

  • 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: Tableau, Power BI, strong math skills (e.g. statistics, algebra), Scala, Python or R.

 

Key Responsibilities:

  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Data Modelling (Relational and Star Schema).
  • Database design.
  • Database development.
  • Data Warehouse Design - Build and Development.
  • Database Administration.
  • Database Performance Tuning and Optimisation.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
  • An understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks.
  • Real-Time analytics and batch processing.
  • Strong experience in architecting analytical applications in cloud environment such as Amazon Web Services and Microsoft Azure.

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