Data Engineer, AWS Marketing DSE

Sales Marketing and Global Services (SMGS)
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Mission Statement

The AWS Marketing Data: AI Science Analytics and Engineering (D:SE) team owns analytics reporting and self-service tooling data representation machine learning models measurement valuation and economics products for AWS Marketing. We are the central data and science organization and we work with different teams in AWS Marketing to drive better measurement increase experimentation velocity improve data access and analytical self-service deploy and test ML-powered targeting models drive higher economic value and empower strategic decisions with business deep dives. We enable other analytics BI and science teams across AWS Marketing through mechanisms partnerships and scalable tools. We work globally as a central team and establish standards benchmarks and best practices for use throughout AWS Marketing.

Overview

Would you like to support increasing customer base and the revenue for AWS a market-leading cloud offering Would you like to be part of a team focused on increasing awareness and adoption of the AWS platform by analyzing customers behavior on and outside AWS websites Do you want to empower our AWS Marketing organization make data-driven decisions that further establish AWS as leader in the cloud computing world

As a Data Engineer at AWS you will be working in a large extremely complex and dynamic data warehousing environment. We are looking for someone with the uncanny ability to integrate multiple heterogeneous data sources with AWS Marketing Data Warehouse - Jarvis and build efficient flexible and scalable data warehouse and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using these technologies to enable upgrades of the existing platform. You should have excellent business and communication skills and be able to work with business owners to develop and define key business questions then build the data sets that answer those questions. You should be expert at designing implementing and operating stable scalable low cost solutions to flow data from production systems into the data warehouse and into end-user facing reporting applications. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.

At AWS you have control over every layer you build. Instead of owning a small slice of an existing service you will own a core segment of a growing marketing platform serving 1000s of internal customers and millions of external customers. You will build on multiple AWS services and have opportunities to engage directly with those teams to improve our core offerings. At AWS we work with our customers on a daily basis to prove out our ideas gather feedback and improve the platform.



A day in the life
- Design implement and support a platform providing ad-hoc access to large datasets
- Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL
- Build robust and scalable data integration (ETL) pipelines using SQL Python and AWS services such as Data Pipelines Glue
- Implement data structures using best practices in data modeling ETL/ELT processes and SQL/Redshift
- Interface with business customers gathering requirements and delivering complete reporting solutions
- Build and deliver high quality datasets to support business analyst and customer reporting needs
- Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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Inclusive Team Culture
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Work/Life Balance
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- 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 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)

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.