Job Openings Azure Data Engineer

About the job Azure Data Engineer

We are looking for a Azure Data Engineer to join our team


Cape Town OR Remote

Intellinexus is a dynamic data & analytics advisory firm with expertise in Architecture, Systems Thinking, Data Analytics and Implementation; delivering top class solutions to a variety of clients across multiple industries, has a great opportunity for Data Engineers (Senior & Mid level) with a knack for data analysis, manipulation and modelling. Critical thinking and problem-solving skills are essential, as well as a passion for data analysis and manipulation.

The Data Engineer must have a solid data engineering background with the ability to interpret business requirements and technical solutions to develop components of or complete data models. Development experience in BI and standard ETL skills. Azure experience is required, with a core focus on Azure Data Factory, Azure SQL database, Python, Azure Data Lake. The Data Engineer needs to have a general understanding and experience of big data that would be an advantage, specifically with HDFS and Hive. An additional advantage would be to have Azure Synapse skills. Focus on the detail but understand the high-level deadlines to enable delivery on time with limited time, ability to articulate thoughts and problem statements well.

Preferred Qualifications & Experience:

• BSc Computer Science, B.IT or Informatics related degrees

• 5-10 years working experience as a Data Engineer / Database Developer

• Understanding of, and hands on experience in, Hadoop/Spark based distributed storage (HDFS) and computing frameworks, as well as NoSQL

• Experience in architecting analytical applications in cloud environment such as Microsoft Azure

• 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 Modelling 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 or Synapse

• 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