Data Engineer, Amazon

Description

Are you passionate about data and code? Does the prospect of dealing with mission-critical data excite you? Do you want to build data engineering solutions that process a broad range of business and customer data? Do you want to continuously improve the systems that enable annual worldwide revenue of hundreds of billions of dollars? If so, then the Amazon Financials Foundation Services (AFFS) team is for you!

Amazon Financials Foundation Services (AFFS), a division within Amazon’s eCommerce Services Organization (eCS) is leading innovation in business systems integration and defining the future of financial accounting at Amazon scale. Our systems are advancing one of the world's most scalable, reliable, and secure e-commerce ecosystem and responsible for processing hundreds of billions of dollars in transactions, in multiple currencies and countries. We are at the center of Amazon’s key initiatives and fueling the growth of Amazon’s businesses worldwide by constantly raising the bar on the speed at which business teams can integrate with our systems.

The goal of the AFFS Data Engineering and Analytics team is to provide high quality, on-time reports to Amazon business teams, enabling them to expand globally at scale. Our team has a direct impact on retail CX, a key component that runs our Amazon fly wheel.

As a Data Engineer, you will own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business use cases. You will use your strong business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.

Key job responsibilities

• Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (DataNet, Cradle, Quick Sight etc.
• Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
• Develop new data models and end to data pipelines.
• Create and implement Data Governance strategy for mitigating privacy and security risks.
  
  

Basic Qualifications

• Bachelor's degree
  
  

Preferred Qualifications

• 3+ years of data engineering experience
  
  
  

Company - ADCI PNQ 13 SEZ

Job ID: A2662504