Data Engineer, AWS Marketing D:SE

Data Engineer, AWS Marketing D:

SE

Join to apply for the Data Engineer, AWS Marketing D:

SE role at Amazon Web Services (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.

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.

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 customer’s behavior on and outside AWS websites? Do you want to empower our AWS Marketing organization to make data‑driven decisions that further establish AWS as a 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.

• 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 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.…