Data Engineer , DaS FinTech
Chennai, IND
2d ago

Job summary

Are you interested in working with the teams that developed the Kindle, FireTV and Alexa? The Amazon Devices and Service Finance organization is expanding our technology team, and we are looking for a Data Engineer with expertise in the areas of requirements gathering, technical design, development, deployment, and integration to solve budgeting, planning, performance management and reporting challenges.

This is an exciting opportunity for a results driven leader to architect solutions, build features and tools that will have an immediate impact, as well as partnering with finance and business leaders in Devices and Services to drive results.

This role requires a self-starter with a strong financial modeling background, systems understanding and problem solving skills, a keen attention to detail, ability to work in a fast-paced environment with ambiguous situations, and solid skills in project management.

Solutions must strike the right balance between precision and speed, providing ever more scalable and granular data models and reporting, without sacrificing accuracy or agility.

You will need to think globally, as the products and features you create have worldwide impact.

Amazon needs individuals that bring the corporate finance experience AND the entrepreneurial aptitude to accelerate decision making and management of the business.

Also needed is the intellectual capacity to produce innovative ideas / analysis and the willingness to do the heavy lifting to implement those decisions.

Key Responsibilities :

  • Design, implement, and support applications that provide structured and timely access to actionable business information addressing stakeholder needs.
  • Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
  • Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Consumables org and Amazon to produce complete data solutions.
  • Investigate and implement new big data technologies to solve business problems where appropriate.
  • Participate in developing technical strategy for turning data into actionable information.
  • Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
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