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Data Engineer, Cross Border Science and Analytics

Summary

Build and maintain data pipelines and warehouses using SQL, Python, Spark, and Hadoop to support cross-border analytics and customer experience at Amazon.

- 1+ years of data engineering experience
- Experience with SQL
- 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)
- 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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Cross Border data and science is looking for a data engineer who can learn, build and innovate our data platforms for world class customer experience.

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