Big Data Engineer, Global Finance Technology (GFT)

Amazon is a global technology and e-commerce company, one of the world's most valuable companies.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Enterprise SaaS · Finance

Description For Big Data Engineer, Global Finance Technology (GFT)

Join Amazon's Global Finance Technology (GFT) team as a Big Data Engineer where you'll be at the forefront of building scalable and enterprise-level data engineering solutions. As part of the Corp FP&A's data engineering team, you'll work directly on systems that support Amazon's CFO and finance leadership's decision-making processes. This role offers a unique vantage point into Amazon's operations, focusing on transforming massive financial datasets into actionable insights.

You'll be responsible for designing and implementing large-scale computing solutions using AWS distributed systems, building data pipelines, and ensuring system efficiency. The role combines technical expertise with business acumen, requiring you to understand complex financial data needs and translate them into robust technical solutions.

The GFT Data Services team plays a crucial role in Amazon's enterprise-wide financial planning & analytics environment. Your work will directly impact the company's financial accuracy, productivity, and decision-making capabilities. You'll collaborate with various financial teams, troubleshoot complex data quality issues, and lead projects from conception to implementation.

This is an excellent opportunity for an experienced Big Data Engineer who is passionate about working with cutting-edge technologies while making a significant impact on Amazon's financial operations. The role offers the chance to work with AWS technologies, big data tools, and enterprise-scale systems while contributing to solutions that enhance work-life harmony for a growing finance user base.

Last updated 2 hours ago

Responsibilities For Big Data Engineer, Global Finance Technology (GFT)

  • Design and build scalable big data pipelines to ingest, transform and publish massive amounts of data at scale
  • Troubleshoot system and data quality issues
  • Identify bottlenecks with current architecture and propose efficient and long term solutions
  • Provide operational support by participating in team's on call rotations
  • Mentor junior engineers with respect to development and design standards
  • Lead projects from initial design through to full implementation

Requirements For Big Data Engineer, Global Finance Technology (GFT)

Python
  • 4+ years of data engineering experience
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with SQL
  • Experience with data modeling, warehousing and building ETL pipelines

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