Data Engineer II, PPE Product Intelligence

Amazons Price Perception and Evaluation team is seeking a driven Data Engineer to work on exciting price evaluation projects. As a Data Engineer you will design implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources aggregate and retrieve data in a fast and safe mode curate data that can be used in machine learning models and ad-hoc data requests. You will be exposed to AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and applied scientists to gather infrastructure requirements design data infrastructure build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies investigating and implementing where appropriate.

Key job responsibilities
- Design implement and support data warehouse/ data lake infrastructure using AWS bigdata stack Python Redshift QuickSight Glue/lake formation EMR/Spark Athena etc.
- Develop and manage ETLs to source data from various systems and create unified data model for machine learning models.
- Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.
- Working closely with a team of scientists to drive price evaluation model research.
- Manage numerous requests concurrently and strategically prioritizing when necessary

- 3 years of data engineering experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- Bachelors degree

- 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)
- Experience creating processes and improving tools that have measurably improved productivity quality or advertiser experience
- Experience in creating process improvements with automation and analysis or experience in identifying leading and executing opportunities to improve automate standardize or simplify finance or business tools and processes

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