Data Engineer

Job Requirements & Responsibilities

Design workflows and data pipelines to transform raw data sources into clean, tested, and reusable datasets based on agreed data models. Supports the data analysts by preparing and providing ready-to-use datasets for analytical and reporting purpose.

This role is vital in transforming raw data into standard datasets to support data-informed decision making across the business.

• Degree in IT, software engineering, or data analytics or data scientist, computer science.
• Good knowledge on ETL/Analytics Tools.
• Good knowledge on SQL and PLSQL.
• Design workflows to transform raw data sources into clean, tested, and reusable datasets based on agreed data models.
• Develop and maintain data pipeline to produce dataset that are shareable and usable across the organization.
• Apply data transformations to different data pieces to deliver outcome that are applicable for different business requirements.
• Prepare, standardize, and improve documentation on workflow and datasets to ensure everyone uses the same definition end-to-end.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.
• Build efficient and best practice data pipeline for better performance.
• Office Location: Bangsar, KL.
• Employment Type: 12-month contract on renewal/ absorb to permanent.