Data EngineerCÔNG TY TNHH DỊCH VỤ THƯƠNG MẠI YES4ALL

Mô tả Công việc
Yes4All is one of the leading brands for home sporting goods & furniture in the e-commerce market. Founded in 2010, we have strived to be in the top 1% retailers on Amazon US. Based in California with an operation office in HCMC, we have more than 400 young and talented members with expert knowledge and experience in the e-commerce industry.
We are on an ambitious journey to dominate not only Amazon's sporting goods market but also to enter new e-commerce markets from many regions like Canada, Europe, Japan. Besides, Home sporting goods, Furniture, Outdoor, and Gardening are also great opportunities that we desire to occupy and create significant values. With our steady knowledge of E-commerce, Yes4All started to provide end to-end ecommerce-enabler service in order to help Vietnamese and global manufacturers or struggling sellers bring their products to the US & International markets.
Our mission: Connect the Worldwide Resources & create an innovative platform to bring products and services from innovators and manufacturers to worldwide customers more efficiently.
Our vision: To be the world leader of e-commerce enablers in term of trading, product creation, and e-commerce servicing.
POSITION OVERVIEW
As a Data Engineer at our company, you will spearhead our most critical data and analytics initiatives, which are crucial for our digital transformation strategy. Your role involves designing and implementing robust, scalable data solutions that bolster our analytical capabilities and operational efficiency.
I. JOB DESCRIPTION
Data Pipeline Construction: Develop and maintain high-performance data pipelines, ensuring efficient data ingestion, processing, and analysis across large datasets.
Database Management: Oversee and enhance database performance, catering to both structured and unstructured data, to ensure high reliability and efficiency.
ETL Development: Engineer and refine ETL processes for effective data transformation and loading into our data warehousing systems.
Performance Tuning: Continuously monitor and fine-tune system performance to optimize data handling and usage.
Collaboration and Support: Collaborate extensively with data scientists, analysts, and cross-functional teams to fulfill their data needs and facilitate seamless data access
Tool Integration: Seamlessly integrate new data management technologies and software tools into existing frameworks.
Data Security and Compliance: Uphold stringent data governance and security standards, ensuring compliance with relevant data privacy regulations.
Documentation: Document key data processes, models, and flows to enhance team capability and data system utility.
Data Pipeline Construction: Develop and maintain high-performance data pipelines, ensuring efficient data ingestion, processing, and analysis across large datasets.
Database Management: Oversee and enhance database performance, catering to both structured and unstructured data, to ensure high reliability and efficiency.
ETL Development: Engineer and refine ETL processes for effective data transformation and loading into our data warehousing systems.
Performance Tuning: Continuously monitor and fine-tune system performance to optimize data handling and usage.
Collaboration and Support: Collaborate extensively with data scientists, analysts, and cross-functional teams to fulfill their data needs and facilitate seamless data access
Tool Integration: Seamlessly integrate new data management technologies and software tools into existing frameworks.
Data Security and Compliance: Uphold stringent data governance and security standards, ensuring compliance with relevant data privacy regulations.
Documentation: Document key data processes, models, and flows to enhance team capability and data system utility.