Data Engineer
2 days ago
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
- Strong oral and written communication skills
- Ability 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 knowledge
- Proficiency in Python for Data Engineering is preferred but not a necessity.
- Based in Ara Damansara, Selangor, Malaysia
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