Technology Specialist - Data Engineer

Data Analyst

Sime Darby Auto Bavaria Sdn. Bhd.

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 SQL
• Data 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 appropriate
• Infrastructure Management - Monitor and Management of SDMG Azure Data Warehouse
• Experienced 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 outputs
• DevOps - 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 area
• Minimum 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 experiences
• Understand business problems and identify the relevant data and business rules to create interactive reports/dashboards
• Experienced with technical requirement analysis, business process modelling/mapping, methodology development and data modelling – including designing, creating, and deploying report, dashboards and data models