Data Engineer

• To provide required support within the guidance of set processes and procedures to ensure effective movement, collection, integration, storage, and provisioning of data to build solutions and meet business objectives through understanding of business unit requirements and collaboration with relevant stakeholders

• Contribute to cost efficiencies through responsible utilisation of work-related resources
• Establish relationships with relevant individuals and departments to deliver on work expectations
• Adhere to relevant service level agreements to build trust in the relationship
• Produce high-quality work by adhering to predefined standards and procedures, and by complying with and enforcing governance standards
• Work with enhanced processes and procedures to maintain operational efficiencies
• accurately deliver work to ensure consistent results
• Draw on knowledge and experience to identify and develop solutions that lead to improved service delivery and quality
• Adhere to quality standards, turnaround times, and company policies and procedures
• Complete relevant administration, reporting, and updating of information accurately and on time
• Research emerging technologies
• Recommend and implement technologies that improve cost effectiveness and system flexibility
• Confer with end users, clients, or senior management to understand business requirements for complex development or enhancements under guidance
• Assist with gap analysis and business cases, including cost and effort analysis
• Conduct hands-on work related to profiling, documenting, and validating the clients
• Execute remediation actions as agreed with the client. Install or update required system components
• Implement the necessary components and frameworks required for automated deployments and task scheduling
• Build unit and systems tests to ensure the successful delivery of components into production
• Manage the user acceptance testing UAT and associated signoff through change control
• Create change scripts and set scripts up to be ready and implemented in production
• Participate in solutions design
• Utilise various components and tools that make up the data platform for enhanced service delivery
• Create requirements and design of the technical architecture, design and development, testing, and deployment of the proposed solution
• Under guidance and supervision, work with the Senior Engineer to present technology solutions to senior leadership and influence architectures that will lead the transformation of the data analytics platform
• Learn from the Subject Matter Expert on the technical environment or tools for own area of expertise
• Provide Analytic infrastructure or big data technologies-related support to Data operations and Analytic teams
• Grow an online technical knowledge platform, identify best practices, and develop guidelines for optimum usage of tools
• Assist and work on projects to roll out and support team members
• Identify and utilize opportunities to assess and improve own performance
• Contribute to teamwork and inclusivity within own team

Mindworx