Steward, Data at Standard Bank Group

About the Job

Job Desscription

• 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.

Minimum Qualifications

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology

Experience Required

• Data Monetisation
• Data & Analytics
• 3-4 years
  • Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with 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.
• 3-4 years
  • Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• 3-4 years
  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working

Additional Information
Behavioral Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Details
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

Technical Competencies:

• Data Analysis
• Data Integrity
• Database Administration
• Information Technology Architecture
• IT Applications
• Knowledge Classification