Provide infrastructure tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting managing analysing visualising data and developing analytical for expanding and optimising Standard Banks data and data pipeline architecture whilst optimising data flow and collection to ultimately support data initiatives.
Qualifications :
Qualification:
- Degree in Information Technology or equivalent
Experience:
- Must have experience managing a team for at least 2-3 years.
- 5-7 years experience with big data tools. Must have experience with relational SQL and NoSQL databases including Postgres and Cassandra.
- Experience with cloud services: EC2 EMR RDS Redshift. Experience with stream-processing systems: Storm Spark-Streaming etc.
- Preferred experience with object-oriented/object function scripting languages: Python Java C Scala etc.
- 5-7 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.
- 5-7 years working SQL knowledge and experience working with relational databases query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience with PowerPlatform (Power Apps/Power Flow) advantageous.
Additional Information :
Behavioural Competencies:
- Adopting Practical Approaches
- Articulating Information
- Examining Information
- Exploring Possibilities
- Interpreting Data
- Producing Output
- Providing Insights
Technical Competencies:
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
Remote Work :
No
Employment Type :
Full-time