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Data Engineer, Stores FinTech

Amazon is one of the world's largest e-commerce and cloud computing companies, known for its innovative approach to technology and customer service.
Data
Mid-Level Software Engineer
5,000+ Employees
1+ year of experience
Finance · Enterprise SaaS
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Description For Data Engineer, Stores FinTech

Amazon Stores FinTech Team is seeking a Data Engineer to design and build a flagship multi-year project to inject automated planning and predictive forecasting, and help shape an end UI, built on the AWS Data Lake. We are the tech team that builds and supports Worldwide Amazon Stores – one of the fastest growing, largest and most complex Supply Chains in the world.

Key responsibilities include:

  • Expertise in building and scaling Finance Planning Applications
  • Deliver on data architecture projects and implementation of next-generation financial solutions
  • Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, etc.
  • Build and deliver high-quality data architecture and pipelines to support customer reporting needs
  • Interface with other technology teams to extract, transform, and load data from various sources
  • Continually improve data processes, automating or simplifying self-service support for customers
  • Collaborate with business users, development teams, and operation engineering teams
  • Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes
  • Prepare runbooks, methods of procedures, tutorials, and training videos on best practices
  • Build monitoring dashboards and create critical alarms for the system
  • Enhance software to improve business processes and meet end-user needs
  • Diagnose and resolve operational issues, perform root cause analysis
  • Identify process improvement opportunities to drive innovation
  • Rotational on-call availability for critical systems support

This role requires a high level of technical expertise with data engineering concepts and offers an opportunity to be an early member of a team solving huge customer needs through disruptive and innovative technology.

Last updated 9 months ago

Responsibilities For Data Engineer, Stores FinTech

  • Design and build flagship multi-year project for automated planning and predictive forecasting
  • Manage AWS resources (EC2, RDS, Redshift, Kinesis, EMR, Lambda, etc.)
  • Build and deliver data architecture and pipelines for customer reporting
  • Collaborate with various teams to extract, transform, and load data
  • Improve data processes and automate self-service support
  • Prepare documentation and training materials
  • Build monitoring dashboards and critical alarms
  • Enhance software to improve business processes
  • Perform root cause analysis and resolve operational issues
  • Identify and drive process improvements

Requirements For Data Engineer, Stores FinTech

Python
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting languages (e.g., Python, KornShell)

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