Data Engineer, Selling Partner Insights and Analytics, SPS
Search Jobs
Search by job, company or skills
Search by job, company or skills
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.
- 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
- 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
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 you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 153854089
Skills:
Hadoop, Emr, Data Modeling, Bodi, Informatica, SSIS, Sql, Hive, Odi, Datastage, Spark, Python, AWS Infrastructure, KornShell, ETL pipelines
Skills:
snowflake , Power Bi, Sql, Azure Data Factory, Dax, Dimensional Modelling, dbt Core, Power BI Semantic Model, dbt Cloud, Azure DevOps Git, SQL Server T-SQL, Kimball Modelling
Skills:
BigQuery, Git, cloud security, Csv, Iam, Data Governance, Json, Rest Apis, Python, Sql, Parquet
Skills:
snowflake , Java, Unix, Machine Learning, Springboot, Tableau, Sql, Data Integration, Powerbi, Ab Initio, Databricks, Python, Analytics Concepts, Generative AI, Business Objects, Spark ETL, ETL Design Concepts
Skills:
snowflake , Github, Alteryx, Azure Data Bricks, AWS Athena, Data Modeling, Data Warehousing, Sql, Nlp, Azure Data Factory, Azure, Python, AWS, SnowPark, Vector databases, Dialogue management, Retrieval-augmented generation, CI CD pipelines, Conversational design
