Data Engineer, Selling Partner Insights and Analytics, SPS

Technology, Data & Digital · Data, AI & Analytics · Data Engineering

In short

Amazon's Selling Partner Insights and Analytics team is hiring an experienced Data Engineer to build and architect a high-impact data platform. This role involves designing scalable AWS data infrastructure, defining data models, and collaborating with stakeholders to meet business needs and drive operational excellence in a fast-paced e-commerce environment.

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.

Requirements

  • 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

Desired 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

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for customers.
  • Workplace accommodation or adjustment for individuals with disabilities during the application and hiring process.
#Data Engineering#Analytics#AWS#ETL#Data Modeling#Big Data

Company

Amazon

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bengaluru, India

Qualification

Bachelor

Applicants

Be an early applicant