Data Engineer, Amazon

Amazon's Consumer Payments organization focuses on global payment solutions and merchant acquisition worldwide.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Finance

Description For Data Engineer, Amazon

Amazon's Consumer Payments organization is seeking a talented Data Engineer to join their team. This role offers a unique opportunity to shape the future of global payments analytics and insights. You'll be working with a diverse, global team spanning Europe, Japan, US, and other regions, while being based in India.

As a Data Engineer, you'll be responsible for building and maintaining large-scale data structures and analytics solutions that drive strategic decision-making at the executive level. You'll work with cutting-edge technologies including AWS Redshift, SQL, Python, and Spark to create robust ETL pipelines and data models that support the organization's global merchant acquisition initiatives.

The ideal candidate is a self-starter who thrives in fast-paced environments, possesses strong analytical skills, and can translate complex business requirements into technical solutions. You'll have the opportunity to work directly with business stakeholders, collaborate with cross-functional teams, and contribute to high-impact projects that shape Amazon's payments ecosystem.

This role offers excellent growth potential, working with a world-class team at one of the globe's leading tech companies. You'll be at the forefront of data engineering, handling large-scale data challenges while contributing to Amazon's mission of being Earth's most customer-centric company. The position combines technical expertise with business acumen, making it perfect for someone who wants to make a significant impact in the fintech space.

Last updated 3 days ago

Responsibilities For Data Engineer, Amazon

  • Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting
  • Implement data structures using best practices in data modeling, ETL/ELT processes
  • Work with product tech teams and build robust and scalable data integration pipelines
  • Continually improve ongoing reporting and analysis processes
  • Interface with business customers, gathering requirements and delivering complete reporting solutions
  • Collaborate with Analysts, Business Intelligence Engineers and Product Managers
  • Participate in strategic & tactical planning discussions
  • Communicate effectively with product/business/tech-teams/other Data teams

Requirements For Data Engineer, Amazon

Python
  • 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 (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (Python, KornShell)

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