Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
About the role
- Data Engineer designing robust data pipelines and cloud infrastructure for OnTheList’s sustainable flash sales. Collaborating on analytics and ensuring data quality for business insights.
Responsibilities
- Assist in designing, building, and maintaining data pipelines and warehouse solutions to ensure reliable, timely access to key business data.
- Support integration of data from multiple sources, including ERP, CRM, e-commerce ( e.g. Shopify), and POS systems.
- Help implement and maintain cloud-based data infrastructure on AWS ( e.g. Redshift, RDS, EC2, S3).
- Develop SQL scripts and Python automation for ETL/ELT workflows and data transformations.
- Monitor and troubleshoot data pipelines to ensure accuracy, performance, and reliability.
- Support dashboard creation and data visualization using BI tools such as Power BI, Looker Studio, or Tableau.
- Contribute to maintaining data governance, security, and quality across systems.
- Collaborate with business teams to understand data needs and support analytical reporting.
- Continuously learn and improve technical and analytical skills under mentorship from senior data engineers.
Requirements
- Bachelor’s degree in Computer Science , Data Science, Information Systems, or a related field.
- 2+ years of professional experience in data engineering, analytics, or database management.
- Solid understanding of SQL and Python for data manipulation and automation.
- Familiarity with cloud environments (preferably AWS) and data warehousing concepts.
- Exposure to BI tools ( e.g. Power BI, Looker Studio, Tableau, or AWS QuickSight).
- Understanding of ETL/ELT principles and experience with tools like Airbyte or similar is a plus.
- Knowledge of retail or e-commerce data workflows (ERP, CRM, Shopify) is an advantage.
- Strong problem-solving mindset, with an eagerness to learn and grow in a fast-paced environment.
- Excellent communication skills and ability to collaborate in a team-oriented setting.
- Fluent in English (spoken and written); proficiency in Cantonese or Mandarin is a plus.
Benefits
- Hybrid working model
- Opportunities for professional development
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