Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

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

Bachelor of Computer Science Degree in Software or Database Engineering

Additional Information

Experience: 

3-4 years: Experience with big data tools such as Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres. 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.

Key Responsibilities: 

Analyse complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.Assemble large, complex data sets that meet functional / non-functional business requirements and align data architecture with business requirements.Oversee and manage creating and maintaining optimal data pipeline architecture and creating databases optimized for performance, implementing schema changes, and maintaining data architecture standards across the required Standard Bank databases. Work alongside data team to help make use of the data they collect.Oversee and manage the enabling and running of data migrations across different databases and different servers and defines and implements data stores based on system requirements and consumer requirements.Build and support analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Create data tools for analytics and data scientist team members that assist them in building and optimising Standard Bank into an innovative industry leader.

Behavioural Competencies:

Adopting Practical ApproachesArticulating InformationDeveloping ExpertiseExamining InformationInterpreting Data

Technical Competencies:

Big Data Frameworks and ToolsData EngineeringData IntegrityIT KnowledgeStakeholder Management (IT)