Job description

Design and install software solutions for Data Management, Data Visualisation, Data Warehouses or Big Data platforms.

Collaborate closely with hardware and infrastructure stakeholders to deploy solutions in enterprise environments such as data centres or cloud providers

Apply security and network design best practices for data analytics solutions to minimise the risk of data exposure

Integrate data analytics platforms to peripheral applications for monitoring, authentication, alert management and log management etc

Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions

Bring your experience and ideas to effective and innovative engineering, such as automation of routine monitoring and maintenance tasks

Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies

The range of accountability, responsibility and autonomy will depend on your experience and seniority, including:

Contributing to our internal networks and special interest groups

Mentoring to upskill peers and juniors

Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them

Good critical thinking and problem-solving abilities

Requirements:

Must-have:

Prior experience deploying large scale enterprise data analytics platforms from vendors such as SAS, Informatica, Talend, Microsoft, IBM, Tableau, Qlik, Oracle etc

Technical expertise in hardware, network and integration of platform software such as user authentication stores, enterprise application/system monitoring tools, mail servers etc

Service-delivery mindset to propose automation and preventive maintenance solutions

Undergraduate or graduate degree in Computer science or equivalent

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