Data Engineer II, Amazon Key

We are actively seeking a motivated and multi-talented individual who is passionate highly autonomous and have deep expertise in the design creation and management of large and complex datasets. You should be an authority at crafting implementing and operating stable scalable solutions to flow huge amounts of data from production systems into the Redshift cluster and build complex transforms to compute and store new data developed by the software teams.

Key job responsibilities
Design implement and support data warehouse / data lake infrastructure using AWS big data stack Python Redshift QuickSight Glue/lake formation EMR/Spark/Scala Athena etc.
Develop and manage ETLs to source data from various commercial sales and operational systems and create unified data model for analytics and reporting.
Use business intelligence and visualization software (e.g. QuickSight.) to develop dashboards those are used by senior leadership.
Empower technical and non-technical internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
Develop deep understanding of vast data sources and know exactly how when and which data to use to solve particular business problems.
Work with Product Managers Engineering BI Teams on day-to-day basis to support their new analytics requirements.
Manage numerous requests concurrently and strategically prioritizing when necessary
Partner/collaborate across teams/roles to deliver results.
Mentor other engineers influence positively team culture and help grow the team.

About the team
Amazon Key teams mission is to provide Amazon with 1-click access to every customers doorstep. We are inventing the next-generation smart delivery operation technologies in IoT (Internet-of-Things). We develop technology-based solutions matching customer needs and delivery capacity with precision and efficiency and expanding and transforming delivery experience with unprecedented quality productivity and scale.

- Bachelors degree or foreign equivalent in computer science engineering analytics mathematics statistics IT or equivalent
- 3 years of data engineering experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions

- Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
- 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 that includes strong analytical skills attention to detail and effective communication abilities or experience using strong customer service communication and interpersonal skills

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 TX Austin - 132100.00 - 178800.00 USD annually
USA WA Bellevue - 132100.00 - 178800.00 USD annually