Data Platform Engineer

• Support the daily operations of the data platform (e.g. handling error notifications, job monitoring & recovery, testing data pipelines);
• Investigate and troubleshoot reported incidents related to technical setup (e.g. connectivity failure, API timeout, service failure);
• Document changes to existing setup (e.g. data sources, pipelines, accounts);
• Research, propose and document technical requirements;
• Review and implement fixes for reported security vulnerabilities;
• Collaborate with the infrastructure team on the data team requests;
• Support product managers in cloud transformation journey for data products;
• Provide technical support and consultancy to business users;
• Develop reports to monitor usage, performance and security events;
• Generate mockup data and create unit tests;
• Set up DevOps pipelines;
• Optimise performance of data pipelines;
• Review data pipelines to ensure adherence to data management standards, policies and procedures.

Requirements

To meet the challenges of this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, or related disciplines;
• 3-5 years of work experience in Data Engineering, Data Science, Software Engineering or IT Infrastructure
• Proficient in developing dashboards (preferably with QuickSight or Tableau);
• Proficient in SQL scripting to analyze, transform and integrate data sources;
• Proficient in Python;

Good to haves:

• Experience IT infrastructure (server, database, network administration experience is an advantage);
• Experience or certification in Tableau Server administration;
• Experience or certification in Talend administration;
• Experience or certification in MS SQL Server administration;
• Experience or certification in SAS Viya administration;
• Proficient in PowerShell;
• Experience in AWS or cloud services;
• Experience in SHIP-HATS or DevOps tools;
• Experience in Terraform or IaC;
• Experience with agile or other rapid application development methodologies;