Our focus is in the delivery of proven, best-practices-based industry solutions so that you can focus on delivering more value to your business.

Our expertise ranges from best-of-breed and best-in-class solutions from the most reputable software and technology vendors in the industry.

iNTELLiNEXUS brings these various facets together with a variety of solutions to enable organisations to thrive long into the future. 

iNTELLiNEXUS

Purpose Role:The Data Engineer role, part of the Advanced Analytics Centre of Excellence (CoE) will provide strategic technology input and be responsible to build, maintain and implement a world class data science platform and systems that will enable and empower the advanced analytics capability to deliver on its strategic mandate; delivering insights, models, and data products to the wider business to drive better business outcomes and customer engagement. Responsibilities:Data Engineering:● Programmatically create infrastructure in AWS by designing, developing and scaling infrastructure-as-code. Ensure the systems are highly available and resilient.● Build scalable and secure data mart and pipelines, often performing complex calculations with massive volumes of data from various sources to summarise various entity dynamics.● Enable the delivery of new code and infrastructure changes through Continuous Integration and Deployment Pipelines.● Protect our customer data with continuous security practices and monitoring.● Working with business stakeholders, BI team members and other IT Teams to define and implement strategic objectives.● Guiding Business Intelligence architecture users on the journey towards Cloud-based solutions.● Detailed knowledge of delivery life cycle associated with AWS Cloud-based solutions including but not limited to the key phases, core milestones, critical success factors, testing, typical challenges and mitigation strategies.● Working with the architectural and solution delivery functions to establish detailed and achievable delivery plans within an Agile delivery framework.● Able to work on simultaneous assignments/complex projects.● Researching, evaluating and recommending new and better ways of doing things based on experience, technology and market trends.● Working with business, technical, analytics, data science and third-party communities to define, entrench and evolve Cloud-based solutions while forging better ways of working.● Supporting and sound boarding with team members.● Define and document BI Cloud solution architecture including technical designs and diagrams.● Document or update specifications for system developments and work with developers and data engineers on requirements.● Where needed, provide first and second line incident support to the Advanced Analytics CoE and business by analysing and clarifying the issue and resolving issues within the agreed operational and service level agreement (OLA/SLA) and communicating effectively to business users and colleagues.● Escalate issues timeously to the BI Support Team Lead and/or BI Technical Capability Lead for support when a solution is not forthcoming.● Where needed, actively monitor processes (e.g. daily batch jobs in the system). Analytics:&nbsp;The role is instrumental in the delivery of data analytics products, initially focused on marketing and customer initiatives but ultimately to the entire organisation and its wider stakeholder and partner groups.&nbsp;Having an interest and understanding of how insights, analytics and data products deliver value to an organisation and having a passion for analytics in general will greatly increase efficacy of the data engineer.&nbsp; Minimum Qualifications &amp; Experience:• Bachelor's degree or equivalent combination of education and experience.• 1-3 Years Python, Spark, PySpark• 3 to 5 years’ experience in software engineering with a focus on serverless applications.• Proven experience of core AWS services and features:• AWS Lambda ● Amazon Athena ● AWS Step Function ● DynamoDB ● Amazon Cognito ● S3 Buckets ● Amazon API Gateway ● CloudWatch ● Redshift ● Amazon RDS ● IAM ● KMS• ‘AWS DevOps Engineer – Professional’ or ‘AWS SysOps Administrator – Associate’ is advantageous.• Understanding of Retail is beneficial.• Understanding of Advanced Analytics/Data Science platforms beneficial• Knowledge of SAP and BW / Business Intelligence systems is helpful.

AWS Data Engineer

To undertake the process of understanding business change needs, assessing the impact of those changes, capturing, analysing and documenting requirements and then supporting the communication and delivery of those requirements with relevant parties

1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Business Impact Assessment (BIA)

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Determine high level requirements, business drivers and a rough sizing of projects.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Identify business areas which will be impacted by implementation.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Each area identified may need to address changes to its people, processes and technology.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Identify a set of stakeholders that need to be involved in creating and validating business requirements.

2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Business Requirement Specification (BRS)

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Compile elicit requirements using interviews (one-on-ones), document analysis, requirements workshops (JAD Sessions), surveys, site visits (sitting with users), use cases, scenarios, business analysis, task, process and workflow analysis.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Acquire a good understanding of the business and current relevant processes with associated benefits, limitations and faults as well as the impact on other processes and applications.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Document the Business Requirements Specifications (BRS) (which may include business processes, user stories, workflow diagrams, etc).

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Review the BRS with the client, using appropriate formats such as presentations and walk-through discussions.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Obtain sign-off on BRS from relevant stakeholders.

3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;User Acceptance Testing (UAT) Preparation

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prepare and plan testing.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct user acceptance testing on basis of requirements.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Once business (super users) proceeds to UAT, handle client queries and do analysis on errors (if required).

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Refer errors back to development team and maintain logging and documentation aspects.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Validate and verify the test results obtained by others in the team.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Once testing is complete, obtain client sign-off on testing.

4.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Business Relationship Management (BRM)

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Be the liaison between the business units, technology teams and support teams.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Communicate with business leadership to evaluate joint initiatives and proposals to see how they align with established roadmaps and business priorities.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Contribute, generally, as a member of the project delivery team to the successful delivery of approved project outputs

5.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Innovation Design Thinking

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Generate ideas within a collaborative environment using a range of BA techniques.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct research on usability and customer experience.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Oversee and contribute to the development of the screens.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct testing to validate that the developed functionality is in accordance with the scope.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Continuously research and strive to understand audience needs better and improve the existing systems.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;IT related degree/diploma, Dip.BA (FTI or equivalent), UX/UI Certification

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5 years’+ experience in Business Analysis

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of wireframe tools.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5 years’+ experience in IT Development

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5 years’+ experience in Project management

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Technology - Microsoft applications, Process methodology BPMN, JIRA, Confluence and Azure DevOps and Knowledge of wireframe tools (e.g. Wireframe.cc and InVision.

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;IT Governance - TOGAF, BABOK, Agile

·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Development

Senior Business Analyst

The Data Engineer will provide strategic technology input and be responsible to build, maintain and implement a world class data science platform and systems that will enable and empower the advanced analytics capability to deliver on its strategic mandate; delivering insights, models, and data products to the business to drive better business outcomes and customer engagement. Responsibilities and Requirements: ● Programmatically create infrastructure in AWS by designing, developing and scaling infrastructure-as-code. Ensure the systems are highly available and resilient. ● Build scalable and secure data mart and pipelines, often performing complex calculations with massive volumes of data from various sources to summarise various entity dynamics. ● Enable the delivery of new code and infrastructure changes through Continuous Integration and Deployment Pipelines. ● Guiding Business Intelligence architecture users on the journey towards Cloud-based solutions. Minimum Qualifications &amp; Experience: • Bachelor's degree or equivalent combination of education and experience. • 1-3 Years Python, Spark, PySpark • 3 to 5 years’ experience in software engineering with a focus on serverless applications. • Proven experience of core AWS services and features (AWS Lambda, Amazon Athena, AWS Step Function etc) • ‘AWS DevOps Engineer – Professional’ or ‘AWS SysOps Administrator – Associate’ is advantageous. • Understanding of Advanced Analytics/Data Science platforms