Posted 4 days ago
DATA ENGINEER
AI Summary
Builds and maintains scalable ETL data pipelines, integrates structured and unstructured data, and collaborates with analysts and stakeholders to deliver data solutions.
About this role
We're on the lookout for individuals who are passionate about fashion, think outside the box, and have an eye for innovation.
Unleash your potential with us, and join us as we create joy and excitement in our global community to empower people to express themselves freely through fashion.
Job Overview:
We are looking for a talented and motivated Data Engineer with 2–3 years of experience to join our team. The ideal candidate will have hands-on experience in building and maintaining data pipelines, working with cloud platforms (Alicloud, AWS, Microsoft Azure, or Google Cloud Platform), and ensuring efficient data integration, storage, and accessibility.
Responsibilities:
1. Data Pipeline Development
- Design, develop, and maintain scalable and reliable ETL (Extract, Transform, Load) pipelines to integrate structured and unstructured data from various sources
- Automate data workflows and ensure efficient data movement across platforms
2. Collaboration and Team Management
- Work closely with data analysts, data scientists, and business stakeholders to understand data needs and provide tailored data solutions
- Translate business requirements into technical specifications for data pipelines, storage, and processing solutions
3. Data Governance and Compliance
- Maintain clear and comprehensive documentation for data pipelines, data warehouse structures, and data governance practices
- Ensure compliance with data governance policies and standards for data security and privacy, working closely with security and governance teams
Requirements:
- Bachelor’s degree or Master’s in Computer Science, Data Engineering, Information Technology, or a related field
- 2-3+ years in data engineering, with strong hands-on experience in big data warehouse
- Team player with strong collaboration skills, able to work effectively with both internal and external teams
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