Big Data Engineer, Global Finance Technology (GFT)

$118,900 - $205,600/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

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About the position

The Big Data Engineer role within Global Finance Technology (GFT) focuses on building scalable data engineering solutions to support Amazon's finance leadership. The position requires collaboration with finance and business stakeholders to translate requirements into technical specifications, while also addressing data quality issues and optimizing existing architectures. The engineer will play a crucial role in transforming large datasets into actionable insights for decision-making.

Responsibilities

• Collaborate with finance and business stakeholders to understand requirements and translate them into technical specifications.
• Design and develop scalable big data pipelines to ingest, transform, and publish large volumes of data efficiently.
• 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.
• Contribute to system documentation and on-call runbooks.
• Mentor junior engineers and drive the successful implementation of projects.

Requirements

• 3+ years of data engineering experience
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience with SQL

Nice-to-haves

• Bachelor's degree

Benefits

• Equity options
• Sign-on payments
• Full range of medical benefits
• Financial benefits