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Business Intelligence and Data Engineer

RM 13,000 - RM 15,999 / Per Mon

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· Provide 1st/2nd level support activities for Enterprise DWH GB Technology Data and BI systems following ITIL processes · Provide exceptional customer service, including timely and frequent updates on the status of the tickets and major incidents to requesters and stakeholders · Ensure correct and timely ticket handling to meet all internal and external SLA and OLA terms · Ensure diagnostic, classification, fault isolation of incidents, and assess priority and severity · Analysis, investigation of the complex data and BI related incidents, e.g. data quality and completeness issues by using SQL, MicroStrategy, Tableau. · Troubleshooting and resolution of incidents following incident management process, including escalation to 3rd level and 3rd parties to ensure the fast restoration of services · Identify, select, implement, configure, and maintain monitoring and alarming systems (MicroStrategy, Splunk, SQL using SSIS packages) · Maintain and update the knowledge base articles for employees and engineers · Trigger and update problem management by correlating incidents and identifying patterns · Shift work (day and/or late evenings; weekdays) on request is expected. Profile and education · IT education or practical experience of at least 3 years in Data-focussed organization/department · Hands-on experience with database standards and end user applications · excellent analytical, organizational, and problem-solving skills · excellent communication skills · independent, goal-oriented, and self-motivating personality. · Excellent understanding of the SQL · Solid understanding of business data analytics and instigation (using MicroStrategy and Tableau) Specific skills and knowledge · minimum 2 years of practical experience supporting and working with MS SQL and BI systems. Mandatory Technical skills · Sound knowledge of BI tools: MicroStrategy/Tableau – administrator level · Microsoft Windows Server administration · MS SQL Server (extensive experience as data SQL proficiency, SSIS packages) · Experience with relational DB · Shell scripting; PowerShell, Python (basics) Optional technical skills · DBA case tools (frontend/backend) and third-party tools · Splunk experience · Experience with non-relational DB (e.g. MongoDB) · Administrating API clients (e.g. Google API)