Data Engineer, AWS Finance Technology

Global technology company leading in e-commerce, cloud computing, and artificial intelligence
Data
Mid-Level Software Engineer
In-Person
1+ year of experience
Finance · Enterprise SaaS

Description For Data Engineer, AWS Finance Technology

Amazon Finance Technology (FinTech) is seeking a Data Engineer to join their team building the next generation big data platform for one of the world's largest finance data warehouses. This role focuses on supporting Amazon's finance, tax, and accounting functions globally through data-driven solutions. You'll work with massive volumes of data, building scalable solutions using AWS technologies that process billions of records daily.

As a Data Engineer, you'll be instrumental in designing and implementing enterprise-level data warehouse solutions using multiple platforms. The role requires expertise in data warehousing components, including data modeling, ETL, and reporting. You'll collaborate with business owners to develop key business questions and build datasets that drive decision-making.

The position offers the opportunity to work with cutting-edge big data technologies and AWS services, while being part of a team creating world-class financial data warehouses and BI tools. You'll be responsible for ensuring data integrity, optimizing query performance, and automating processes to improve efficiency.

This role is perfect for someone who thrives in a fast-paced environment, enjoys working with large transactional volumes, and is passionate about data and analytics. You'll be joining a dynamic team that values innovation, technical expertise, and the ability to deliver impactful solutions for Amazon's expanding global footprint.

Last updated 4 minutes ago

Responsibilities For Data Engineer, AWS Finance Technology

  • Design, implement, and support a platform providing secured access to large datasets
  • Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions
  • Model data and metadata to support ad-hoc and pre-built reporting
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards
  • Tune application and query performance using profiling tools and SQL
  • Learn and understand Amazon's data resources and know when, how, and which to use
  • Keep up to date with advances in big data technologies and run pilots to design the data architecture
  • Continually improve ongoing reporting and analysis processes

Requirements For Data Engineer, AWS Finance Technology

Python
  • 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)

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