Data Engineer I, FBA EU

Join us in the FBA EU Analytics Team and Tackle Data Warehousing AI initiatives and Reporting Challenges!

Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazons EU platform. We specialize in constructing and maintaining intricate standard data pipelines derive and analyze performance of the sellers selling on Amazon.

We are currently in search of a brilliant self-driven Data Engineer to join our this role you will have the opportunity to work on building scalable solutions including extensive data models and complex ETL pipelines that support AI / ML initiatives while utilizing your expertise to raise the bar on data timeliness discoverability and availability of the same.

Key job responsibilities

Design and implement scalable secure data pipelines and infrastructure using AWS services (eg. Glue EMR Lamba)

Build and maintain high-performance ETL processes that handle large-scale complex datasets

Architect end-to-end analytical solutions that are highly available stable and cost-effective

Transform raw data into actionable insights through effective data modeling and integration

Implement best practices in data system creation data integrity and documentation

Proactively identify opportunities for process improvement and automation

Partner with business stakeholders to gather requirements and translate them into technical solutions using AI

• 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)
• 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 for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Department / Functional Area : Data Engineering

Experience : years

Vacancy : 1