Data Engineer

Responsibilities:Deliver technology to meet business requirements.Data Integration and Maintenance Creation of new data pipelines and monitoring existing ones Proficient in API’s, JSON and SQLData Quality and Governance Implementation of logic to clean and transform data in a meaningful way. Apply and define data governance standards and policies. Optimisation database structures performance, scalability, and data retrieval Ensuring data management and governance measures are in place and appropriateInfrastructure Management - Monitor and Management of SDMG Azure Data WarehouseExperienced in developing Power BI reports and dashboards preferred but not a necessity.Automation and Tooling Develop automated processes for data extraction, transformation, and loading to improve efficiency and reduce manual errors. Ensure to streamline data workflows.Performance Tuning - Identify bottlenecks and optimize data processing performance, ensuring timely data availability for analysis and reporting.Data Insights Provide valuable insights to a company and make recommendations on improving operations or fixing specific problems using technology Provide Data insights utilising BI tools, especially Power BI or QlikSense Bring together data from multiple sources and work with structured and unstructured data to provide meaningful, user-friendly outputsDevOps - Experience with DevOps including developing, deploying, security hardening, monitoring, and logging on top of Azure preferred but not a necessity.Requirements:Relevant qualifications (Diploma / degree) in business functional areaMinimum 2 years’ experience in a role using BI solutions to develop insight-based reporting, especially Power BI.Minimum 5 years’ experience in a role using Azure Data Lake, Azure Data Factory and Azure Data Warehouse.Experienced in a variety of visualisation techniques and designs the content and appearance of data visuals.Experienced in operationalized and automated activities for efficient and timely production of data visuals.Experienced in appropriate visualisation approaches from a range of applicable options.Contributed in exploration and experimentation in data visualisation.Experienced in using appropriate data visualisation for different purposes and contexts to satisfy requirements.Experienced in developing plans to show how the identified user needs will be met.Passionate about discovery, finding problems and opportunities for improvement, seeking innovative ways to improve and enhance efficiency and customer experiencesUnderstand business problems and identify the relevant data and business rules to create interactive reports/dashboardsExperienced with technical requirement analysis, business process modelling/mapping, methodology development and data modelling – including designing, creating, and deploying report, dashboards and data modelsStrong oral and written communication skillsAbility to work well in a team, adapt quickly to change and able to shift quickly as priorities and circumstances change.Aptitude for acquiring new skills and knowledgeProficiency in Python for Data Engineering is preferred but not a necessity.Based in Ara Damansara, Selangor, Malaysia