Data Engineer, Selling Partner Insights and Analytics, SPS

Amazon Inc.; Asti; Ibrido; EUR 48.000 - 75.000; Tempo pieno

Descrizione del lavoro

Amazon is seeking a Data Engineer for Selling Partner Insights and Analytics to design and operate scalable data infrastructure on AWS. You will define data models for Paragon, collaborate with stakeholders, and drive data quality and governance across a massive e-commerce data estate.

The role emphasizes building data-intensive applications, enabling ML/LLM models, and supporting 70,000+ users with trusted data access. A strong SQL/data warehousing background is required.

Competenze

• 1+ years of data engineering experience.
• Experience with SQL and data modeling, warehousing, and ETL pipelines.
• Experience with SQL-like languages (e.g., HiveQL, SparkSQL) and scripting (Python).
• Bachelor's degree or higher in a related field.

Mansioni

• Design and operate scalable data infrastructure and pipelines using native AWS technologies.
• Define logical data models and architectures for growth of Paragon and worldwide use cases.
• Collaborate with business owners to gather requirements and deliver data solutions.
• Maintain data quality, availability, and compliance, and enable data exploration and access controls.
• Contribute across the full data engineering lifecycle: design, development, testing, and maintenance.

Conoscenze

SQL

Data modeling

ETL pipelines

Python

Big data concepts

Warehousing

Formazione

Bachelor's degree in Computer Science/Engineering/Information Systems

Strumenti

AWS

Hadoop

Hive

Spark

ETL tools (Informatica/SSIS etc.)

Descrizione del lavoro

Data Engineer, Selling Partner Insights and Analytics, SPS

Amazon's Selling Partner Insights and Analytics (SPIA) team is looking for an experienced Data Engineer to help architect and build the data platform that powers Paragon, Amazon's second-largest Human-in-the-Loop platform. Paragon processes over 500 million cases every year and serves 200+ teams and 70,000+ users who handle support and investigation work across Selling Partner Services.

This is a high-impact role for a self-starter who thrives in a fast-paced, ever-changing environment and has a genuine passion for building data-intensive applications. With access to vast datasets and a strong organizational focus on AI/LLM, you will help redefine how data is accessed, trusted, and applied across Selling Partner Services, directly influencing customer experience and operational excellence in the world's largest e-commerce ecosystem.

Key job responsibilities

• Design and operate scalable, cost-effective data infrastructure and pipelines on native AWS technologies, curating data for reporting, analytics, and LLM/ML models.
• Define logical data models and architectures that scale with Paragon's growth into Emerging Marketplaces and worldwide use cases.
• Partner with business owners and technical leaders to gather requirements, shape data architecture, and deliver solutions that meet real business needs.
• Drive Best-At-Amazon (BAA) standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.
• Enable efficient data exploration on large datasets and implement data access controls for stand-alone datasets.
• Build automation that raises the bar on operational excellence, and contribute across the full data engineering lifecycle: design, development, testing, and maintenance.

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)
• Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline

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.
• Knowledge of AWS Infrastructure

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.