Support in providing infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of business insights from raw data sources with a focus on collecting, managing, analysing, visualising data and developing analytical solutions.Responsible for expanding and optimising the organisations data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.
Qualifications
Qualification:
Bachelors Degree in Information Studies / Information Technology
Experience Required:
Data Monetisation
3-4 years experience with big data tools:
SAS, Hadoop, Spark, Kafka, etc.
3-4 years experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data visualisation tools, PowerBI, QlikSense, etc
Experience with stream-processing systems:
SAS Event Stream Processing, Spark-Streaming, etc.
3-4 years experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Additional Information
Behavioural Competencies:
Adopting Practical Approaches
Articulating Information
Challenging Ideas
Checking Things
Examining Information
Exploring Possibilities
Interpreting Data
Meeting Timescales
Producing Output
Providing Insights
Team Working
Upholding Standards
Technical Competencies:
Data Analysis
Database Administration
Data Integrity
Information Technology Architecture
IT Applications
Knowledge Classification
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