About this role

Amazon is hiring a mid-level Data Engineer based in Beijing, China. The posting calls out experience with Python, Scala, AWS, SQL and roughly 1+ years of relevant work.

Role: Data Engineer
Function: data engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Beijing, China
Experience: 1+ years
Department: Systems, Quality, & Security Engineering
Posted: Jun 8, 2026

AI Summary

Build scalable data analytical solutions and ETL pipelines for Amazon's ARTS team. Implement data flow from production systems to dashboards using AWS services like Redshift and S3. Requires 1+ years data engineering experience, SQL proficiency, and expertise in data modeling and warehousing.

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Job description

from Amazon careers

Amazon ARTS team is seeking for a contractor Data Engineer of deep expertise in creation and management of datasets. The role is responsible to build data analytical solutions that will address increasingly complex business questions, as an expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports; working on developing solutions that provide some of the unique challenges of space, size and speed; implementing data analytics using cutting edge analytics patterns and technologies that are inclusive of but not limited to various AWS Offerings –Redshift, S3 and RDS.; working with partner teams to create dashboards for our customers.

Basic Qualifications

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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