Data Engineer , Retail Business Service

Amazon; Milano; In loco; EUR 40.000 - 55.000; Tempo pieno

Descrizione del lavoro

A global e-commerce company in Milano is seeking a Data Engineer to deliver data engineering initiatives and build analytical solutions using AWS tools. This role involves implementing ETL processes and designing scalable data architectures. The ideal candidate has experience with data engineering, SQL, and big data technologies. Join a diverse team committed to delivering exceptional results for customers.

Competenze

• 1+ years of data engineering experience.
• Experience with SQL and data modeling.
• Proficient in building ETL pipelines.

Mansioni

• Implement data ingestion routines using AWS technologies.
• Design and operate high-performance data solutions.
• Gather business requirements and translate into operable solutions.

Conoscenze

Data engineering experience

SQL

Data modeling

ETL pipelines

Python

Strumenti

Hadoop

Spark

Hive

AWS

Descrizione del lavoro

Job Summary

Retail Business Services (RBS) supports Amazon’s Retail business growth worldwide through three core tasks: (a) Selection, where RBS sources, creates and enriches ASINs to drive GMS growth; (b) Defect Elimination, where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow; and (c) supports operational processes for worldwide Retail teams.

Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to maintain a good shopping experience for our customers.

Role Overview

As a Data Engineer, you will own and deliver data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.

You will strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long‑term view on architecting advanced data ecosystems and are experienced in building efficient and scalable data services and in integrating data systems with AWS tools and services to support a variety of customer use cases and applications.

Key Responsibilities

• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
• Design, implement and operate large‑scale, high‑volume, high‑performance data for analysis data science.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self‑service modeling and production support for customers.

Basic Qualifications

• 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)

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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Posted: November 30, 2025 (Updated about 11 hours ago)

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