HCM - Data Engineer and Analytics Tracking SpecialistCông Ty Cổ Phần Maison Retail Management International - Hà Nội

Mô tả Công việc
I. JOB BRIEF:
- We are looking for a Senior Data Engineer and Analytics Tracking to join our marketing team. In this role, you will be responsible for building, managing, optimizing, and scaling our data processing and storage infrastructure for Marketing Purposes. You will work closely with data science team and digital team to ensure data is accurate, easily accessible and properly stored
- Strategically explore and obtain data and information from various sources within the business system. Including Meta platform, Google Ads/Google Analytics platform, Tiktok, ...
- Ensure data assets are organized and stored most efficiently for mining purposes
- Design, build and maintain optimized data pipelines and ETL/ELT solutions as business support tools in providing analysis and real-time analytics platform for critical decision making.
- Proactively collaborate with data users to understand data requirements, build and deploy optimized data solutions
- Evaluate current complex data architecture in the organization and identify mandatory improvements
- Define strategies for data infrastructure to fulfill data analytic and utilization needs of the organization
- Manage and drive the upgrades to systems and storage to accommodate business and product requirements for data operations
- Design and deliver data infrastructure and functionalities with the most suitable technologies for data analysts, data scientists, and other business roles to monetize data and fulfill the strategy
II. JOB RELATION:
1. Direct superior: Digital Manager.
2. Direct reports:
3. Major internal communication:
4. Major external communications
III. DETAILED JOB DESCRIPTION:
- Develop and maintain data processing pipelines using tools
- Manage the data storage system, including backups and disaster recovery plans
- Monitor data metrics and KPIs to ensure optimal performance and make suggestions for improvement
- Troubleshoot data issues, such as data quality or missing data, deduplicate and work with the data relevant team to address them
- Stay up to date on new technologies and best practices in data processing and storage