Data Engineer II

Location: Sant'Ambrogio di Torino

Join us in the International Seller Services Central Analytics Team and Tackle Data Warehousing and Reporting Challenges!
We are a dedicated group of BIE, DE, DS, AS and BAs within the Seller Services organization  mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's global platform. We specialize in constructing and maintaining intricate standard data pipelines that are used by thousands of users across the globe to measure, derive and analyze performance of the sellers selling on Amazon.
We are currently in search of a brilliant, self-driven, and seasoned BIE III to join our team. In this role, you will have the opportunity to work on building scalable solutions, including extensive data models and complex ETL pipelines and utilize 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 technologies and big data tools
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

Basic Qualifications

3+ years of data engineering experience
4+ years of SQL experience

Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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