Data Engineer, Infra-Finance Business intelligence & Transformations

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing Are you passionate about data and code Does the prospect of dealing with massive volumes of data excite you Do you want to build data engineering solutions that process millions of records

Amazon Web Services is looking for a Data Engineer to help build a scalable secured and robust data infrastructure that supports the AWS supply chain Finance (SCF) organization. You will be part of the SCF Analytics team working with other Data Engineers Business Intelligence engineers Product managers and partner with finance/business stakeholders to achieve our goals.

Key job responsibilities
Design implement and support a platform providing secured access to large datasets.
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions.
Tune application and query performance using profiling tools and SQL.
Analyze and solve problems at their root stepping back to understand the broader context.
Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.
Keep up to date with advances in data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for datasets.
Triage many possible courses of action in a high-ambiguity environment making use of both quantitative analysis and business judgment.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.

About the team
IFBIT team vision is to simplify and automate processes drive data-led decision making and provide meaningful insights for enhanced financial and business performance. We aim to cultivate a culture of innovation and collaboration build and evangelize data analytics capabilities develop scalable products that reduce manual efforts improve efficiency and enhance controllership. By doing this we contribute to improving AWS financial performance in a sustainable manner. Our focus on scalability agility and customer-centric products also aligns with the goal of maximizing long-term value for our customers and the company.

- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 5 years of SQL experience
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Bachelors degree or foreign equivalent in computer science engineering analytics mathematics statistics IT or equivalent

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 132100.00 - 178800.00 USD annually