Responsibilities:

• Complete the ETL part of various data analysis projects; design the structure, formulate verification rules and entry rules; conduct analysis, track business changes, and adjust the database structure in time.
• Cooperate with project development, combine AI technology, standardize the entire process from data production to usage, build SOP and reshape the workflow; accelerate data production efficiency, and improve data service quality.
• Maintain and optimize the database.
• Set data reporting specifications and qualify assurance procedures.
• Perform data visualization, cooperate with different business units, and build visualization panels through QuickBI or Tableau.
• Cooperate with testing engineers, and responsible for the data quality.

Requirements:

• Bachelor's Degree or above.
• 2-4 years of experience in data Engineer.
• Experienced in retail industry preferred.
• Experienced in database construction is preferred, including data modeling, ETL development and design.
• Proficient in the implementation and development of ETL tools such as Datastage and Kettle.
• Proficient in mainstream database technologies such as MySQL, Mpp, Oracle, etc.
• Proficient in using SQL, Python, R and other languages ​​for data analysis.
• Self-motivated, proactive, logical, and sensitive to data.
• Strong business acumen and insight, can discover and identify key business issues and conduct causal reasoning and trend predictions.
• Fluent in both Chinese and English (spoken and written)