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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 Description
Key Responsibilities
Accountability Data Architecture & Data Engineering
Understand 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.)
Translate / interpret the data architecture direction and associated business requirements & leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
Participate in design thinking processes to successfully deliver data solution blueprints
Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
Design data retrieval, storage & distribution solutions (and OR components thereof) including contributing to all phases of the development lifecycle e.g. design process
Develop high quality data processing, retrieval, storage & distribution design in a test driven & domain driven / cross domain environment
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)
Automate tasks through appropriate tools and scripting technologies e.g. Ansible, Chef
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
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
Support the continuous optimisation, improvement & automation of data processing, retrieval, storage & distribution processes
Ensure the quality assurance and testing of all data solutions aligned to the QA Engineering & broader architectural guidelines and standards of the organisation
Implement & align to the Group Security standards and practices to ensure the undisputable separation, security & quality of the organisation’s data
Meaningfully contribute to & 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 to & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerization etc.
Monitor the performance of data solutions designs & ensure ongoing optimization of data solutions
Stay ahead of the curve on data processing, retrieval, storage & distribution technologies & processes
(Global best practices & trends) to ensure best practice
People
Coach & mentor other engineers
Conduct peer reviews, testing, problem solving within and across the broader team
Build data science team capability in the use of data solutions
Risk & Governance
Identify technical risks and mitigate these (pre, during & post deployment)
Update / Design all application documentation aligned to the organization technical standards and risk governance frameworks
Create business cases & solution specifications for various governance processes (e.g. CTO approvals)
Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to find the underlying cause of major incidents
Deliver on time & on budget (always)
Education and Experience required
Relevant NQF level 7 qualification in computer science, engineering, physics, mathematics or equivalent
Development and deployment of data applications
Design & Implementation of infrastructure tooling and work on horizontal frameworks and libraries
Creation of data ingestion pipelines between legacy data warehouses and the big data stack
Automation of application back-end workflows
Building and maintaining backend services created by multiple services framework
Maintain and enhance applications backed by Big Data computation applications
Be eager to learn new approaches and technologies
Strong problem solving skills
Strong programming skills
Worked on Big Data platforms (Vanilla Hadoop, Cloudera or Hortonworks)
Preferred: Experience with Scala or other functional languages (Haskell, Clojure, Kotlin, Clean)
Preferred: Experience with some of the following: Apache Hadoop, Spark, Hive, Pig, Oozie, ZooKeeper, MongoDB, CouchbaseDB, Impala, Kudu, Linux, Bash, version control tools, continuous integration tools, SAS and SQL skills
At least three (3) years’ experience working in Big data environment (advantageous for all, a must for high volume environments) – optimizing and building big data pipelines, architectures and data sets
Education
Bachelor's Degree: Information Technology
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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