Vacancies at Absa Bank Limited

Job Summary

Work embedded as a member of squad OR; across multiple squads to produce, test, document and review algorithms & data specific source code that supports the deployment & optimisation of data retrieval, processing, storage and distribution for a business area.

Job Description

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[1]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[1]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, Containerisation 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 get to the bottom of major incidents
• Deliver on time & on budget (always

Skills & Experience Required

• 3+ years relevant experience
• Proficiency in Hadoop required
• Spark and/or AWS knowledge a distinct advantage
• Experienced in lake formation
• Ability to adapt to inhouse built ETL tools

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Job Summary

The Senior Linux Technical Lead will be responsible for overseeing the design, implementation, and maintenance of Linux-based systems and infrastructure. This role involves coaching a team of Linux administrators, ensuring system reliability, performance, and security, and collaborating with other IT teams to support business objectives.

Job Description

Technical Leadership:

• Coach and mentor a team of Linux administrators and engineers.
• Provide technical guidance and support to team members.
• Foster a collaborative team environment.

System Administration:

• Oversee the installation, configuration, and maintenance of Linux servers and systems.
• Ensure high availability and reliability of Linux-based services.
• Manage system performance, tuning, and capacity planning.

Security and Compliance:

• Implement and maintain security best practices for Linux systems.
• Conduct regular security audits and vulnerability assessments.
• Ensure compliance with relevant regulations and standards.

Automation

• Develop and maintain automation playbooks to streamline system administration tasks.
• Utilize configuration management tools (e.g. Ansible, Satellite) to manage infrastructure.
• Implement and manage CI/CD pipelines for system updates and deployments.

Troubleshooting and Support:

• Provide advanced troubleshooting and support for Linux-related issues.
• Coordinate with other IT teams to resolve complex technical problems.
• Perform system performance tuning

Documentation and Reporting:

• Maintain comprehensive documentation of system configurations, architectural designs, processes, and procedures.
• Generate regular reports on system performance, incidents, and compliance.
• Communicate effectively with stakeholders regarding system status and updates.

Research and Development

• Identify, test and deploy latest products related to the platform in line with operational requirements.
• Develop innovative products and services to address current challenges, providing a competitive advantage and fostering long-term growth.

Experience & Qualifications Required:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Extensive experience in Linux system administration and engineering.
• Strong leadership skills.
• Proficiency in scripting languages (e.g., Bash, Python).
• In-depth knowledge of security best practices and compliance requirements.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.

Critical  Skills:

• Experience with automation and configuration management tools (e.g., Ansible, Puppet).
• Certifications in relevant technologies (e.g., Red Hat Certified Engineer, Linux Professional Institute Certification).
• Experience  with cloud computing platforms (e.g., AWS, Azure)

Education

Bachelor's Degree: Information Technology