Data Engineer I Amazon Payment Products

Description

Join the Amazon Payments Products - Data Engineering team and help us build the cutting-edge data infrastructure that drives Amazons Payment Programs. Our team delivers data-driven solutions that impact millions of customers across Amazons payment ecosystem. Were a high-performing team that consistently delivers while maintaining zero-defect standards through rigorous engineering practices. Were at the forefront of AI-first transformation, implementing cutting-edge automation solutions and next-generation data architectures that drive measurable productivity gains. Our work spans above and beyond the critical business areas such as customer acquisition, fraud detection, product recommendations, financial and executive reporting.

As a Data Engineer I, youll work on high-impact projects (targeting millions of customers), large-scale customer acquisition initiatives, and fraud detection platforms. Youll collaborate with Product Managers, Data Scientists, Business Intelligence Engineers, UX Designers, Software Development Engineers, GMs, and other cross-functional engineering teams to solve complex data challenges at massive scale while driving innovation through AI-powered automation.

Key job responsibilities

Design, build, and optimize logical data models and data pipelines for complex datasets

Own ongoing data quality and create self-service access to datasets for business intelligence

Work on major portions of existing or new data architecture within the team

Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions

Write secure, stable, testable, and maintainable code with minimal defects

Apply appropriate data design approaches and make judicious trade-offs without over-engineering

Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure

Participate actively in code reviews, design discussions, and team planning

Mentor and train junior team members and new peers

Resolve root causes of complex problems and balance customer requirements with team needs

Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases)

A day in the life

As a DE I, youll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the teams data architecture while maintaining high standards of operational excellence.

About The Team

Amazon Payment Data team empowers Amazon Payments through strategic data solutions. We design and implement enterprise data warehousing and business intelligence platforms that transform raw data into actionable insights. Our team manages the critical infrastructure powering payment analytics while partnering with stakeholders to deliver training, support, and scalable data solutions that drive decision-making across Amazons global payment products.

Basic Qualifications

• 1+ years of data engineering experience
• 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)
  
  

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.
  
  

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - ADCI - Karnataka

Job ID: A10395853

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