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Data Engineer, Selling Partner Insights and Analytics, SPS

Amazon· SPS
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Hybrid (Bengaluru)Full-timePosted 1mo ago

About the role

Data Engineer to design and operate the data platform powering Paragon, Amazon's Human-in-the-Loop platform, enabling reporting, analytics, and AI/LLM workloads across Selling Partner Services.

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.

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

Skills

Required:SQLData modelingETL pipelinesQuery languagesScripting
Nice to have:AWS
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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