Job Description

• Provide tools and frameworks used to deliver end-to-end solutions to measurement and profitability analytics. Build scalable solutions for supporting the delivery of clear business profitability insights from raw data sources; with a focus on collecting, managing, analysing and visualising data. Responsible for expanding and optimising Standard Bank’s data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives. Enable the team to migrate data workloads to cloud platforms.

Qualifications

Minimum Qualification:

• Bachelor’s Degree in Mathematical / Statistics / Information Studies / Data & Computer Science (related degree)
• Postgraduate Diploma (Advantageous)

Experience Required

• 3-7 years Data Monetisation experience with big data tools: Hadoop, Spark, Kafka, etc.
• 3-7 Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• 3-7 years AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• 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
• Knowledge Classification