Data Engineer I, SPS

Amazon; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Amazon's Selling Partner Insights and Analytics (SPIA) team seeks an experienced Data Engineer to architect and build the data platform behind Paragon, Amazon's second-largest Human-in-the-Loop platform. Paragon handles over 500 million cases yearly and serves 200+ teams with 70,000+ users across selling partner services.

This high-impact role thrives in a fast-paced environment and aims to redefine data access, trust, and application across Amazon's ecosystem, leveraging AI/LLM capabilities to

Qualifications

• 1+ years of data engineering experience.
• Proficient in SQL and data modeling for large-scale datasets.
• Experience with AWS data services is preferred.

Responsibilities

• Design and operate scalable data infrastructure and pipelines on native AWS technologies, curating data for reporting, analytics, and ML models.
• Define logical data models and architectures that scale with Paragon's growth.
• Partner with business owners to gather requirements and deliver data solutions that meet business needs.
• Drive standards for efficiency, availability, and compliance.
• Enable data exploration on large datasets and implement data access controls.
• Build automation across the data engineering lifecycle: design, development, testing, maintenance.

Skills

SQL

Data modeling

ETL pipelines

Python

Big data concepts

Education

Bachelor's degree in Computer Science/Engineering or related

Tools

Hadoop

Hive

Spark

AWS EMR

Informatica

Job description

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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