Data Engineer, Cross Border Science and Analytics

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence

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Amazon's Cross Border business is seeking a Data Engineer to develop AI-ready data infrastructure for analytical and science products. This role requires experience in data modeling, warehousing, ETL pipelines, and proficiency in query and scripting languages.

Description

Amazon's Cross Border business is looking for a passionate data engineer who can contribute to build the AI ready data infrastructure to support all analytical and science products for businesses.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

#data-engineer#cross-border#analytics#ai#data-infrastructure#etl#big-data#sql#python#hadoop#spark#noida

Företag

Amazon

Publicerade jobb

för 1 månad sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Medarbetare

Platser

Noida, India

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