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Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise the possibilities on our continent and beyond.
Job Summary
Leveraging a thorough understanding of the business data requirements & own data subject matter expertise (ahead of trend), set data architecture direction & lead the agile solution design, deployment, implementation & ongoing optimization of enterprise wide data retrieval, storage and distribution across an estate.
Job Description
Providing consultancy and hands-on help to development teams designing, developing and releasing solutions to Cloud based infrastructure
Provide hands-on support resolving issues with Cloud based infrastructure
Advise on best practice when designing and implementing Cloud based solutions
Architectural guidance on next iteration of technology stack. AWS Set Up: Account, Configuration and getting the data into the Production instance of AWS
Application Development including data pipeline, data storage, data analytics as well as front end and back end of technology stack
Data engineering and data lineage (data life cycle) considerations on how to manage the pipeline from source to analytics engine
Collaborate with data science teams & broader business & technical stakeholders to analyse customer data requirements & leverage analysis to identify & accurately spec / frame & set the appropriate data architecture for the business area
Take accountability for deeply understanding the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
Leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
Lead design thinking processes to successfully deliver data solution blueprints & associated roadmaps
Lead the end to end solution design & implementation process for all data retrieval, storage & distribution solutions including contributing to and in some cases lead all phases of the development lifecycle including e.g. design process
Build analytics tools that utilize the data pipeline by quickly producing well-organised, optimized, and documented source code & algorithms to deliver technical data solutions
Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multi-site environments – supporting and managing your applications all the way to production)
Debug existing source code and polish feature sets.
Assemble large, complex data sets that meet business requirements & manage the data pipeline
Build infrastructure to automate extremely high volumes of data delivery and
Creatively solve data volume and scaling challenges.
Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business
Ensure designs & solutions support the technical organisation principles of self-service, repeatability, testability, scalability & resilience
Apply general design patterns and paradigms to deliver technical solutions
Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Meaningfully contribute & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices. Short term deployment must align to strategic long term delivery.
Meaningfully contribute & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.
Strategically & operationally monitor the performance of data products and services ensuring ongoing optimization & cost to value for our businesses (think bank wide)
Stay ahead of the curve on data retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice
Pre-requisite Skills:
Pro-level skills:
Python 2 & 3
Nodejs
Terraform
C#
AWS Certified Dev Associate
AWS Certified Solutions Architect Associate
TensorFlow
PySpark
AWS Data Analytics Specialty
Additional Certifications:
AWS Certified Sysops associate
AWS Certified Solutions Architect Professional
AWS Certified DevOps Professional
Key understanding of – additional benefits:
Absa ServiceNow and the CMDB;
Technology platforms, software
Confluence, Bitbucket, JIRA & Quicksight
Education
Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised
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