Key Responsibilities
? Review product requirements design documents, execute functional test cases to ensure core features work correctly reliably.
? Participate in test planning freleases, perform regression testing, identify track defects, drive timely resolution.
? Maintain test data environments to ensure consistency reproducibility throughout the testing process.
? Collaborate closely with development, product, project teams to provide feedback support quality improvements.
? Analyze test results prepare detailed test reports to support release decisions.
? Nice to Have: Ability to design maintain automated test scripts (Playwright preferred) to improve efficiency integrate CI/CD pipelines.
Required Qualifications
? Bachelor’s degree above in Computer Science, Software Engineering, related fields.
? 5 years of experience in software testing, with strong knowledge of functional testing processes methodologies.
? Ability to independently write test cases perform defect analysis troubleshooting.
? Familiarity with common defect tracking collaboration tools (e.g., Jira, Confluence).
? Strong communication teamwork skills, able to work effectively in cross-functional environments.
? Preferred: Experience with Playwright automation testing understanding of CI/CD workflows; experience in industrial software control system testing is a plus.
更新于 2026-01-16
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Amazon Global Selling has been helping individuals businesses increase sales reach new customers around the globe. Today, more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible frecruiting local businesses to sell on Amazon’s 19+ overseas marketplaces supporting local Sellers’ success growth on the Amazon. Our vision is to be the first choice fall types of Chinese business to go globally.
The Amazon Global Selling Analytics, Intelligence, Technology (AGS-AIT) team serves as the research, automation, insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGSganization while maintaining excellence in business insight generation, self-service BI/AI application development.
AGS-AIT is looking fa Data Engineer to collaborate with cross-functional teams to design develop data infrastructure analytics capabilities fAGS AI Automation initiatives.
Key job responsibilities
? Design implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, storage, supporting both real-time offline analytics needs.
? Develop automated data monitoring tools interactive dashboards to enhance business teams’ insights core metrics (e.g., user behavior, AI model performance).
? Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), build a unified data layer.
? Establish data standardization governance policies to ensure consistency, accuracy, compliance.
? Provide structured data inputs fAI model training inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
Basic qualifications
1+ years of data engineering experience
Experience with data modeling, warehousing building ETL pipelines
Experience with one more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one 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.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles permissions
更新于 2026-01-26
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