Data Engineer Customer Experience and Business Trends

Customer Experience & Business Trends (CXBT) is seeking talented Data Engineers to develop optimized solutions for creating highquality data analytics and product infrastructure. We are focused on deeply understanding and improving Amazon customer experiences globally and use this infrastructure to develop and deliver analytics applications for metrics generation metrics correlation econometrics Machine Learning models and other use cases to ultimately help provide insights that drive enhanced customer experiences.

As a Data Engineer the ideal candidate will partner with Software Developers Business Intelligence Engineers Scientists and Product Managers to develop scalable and maintainable data pipelines for both structured and unstructured (textbased) data. This candidate should have strong business judgment a good sense of architectural design excellent written/documentation skills and experience with big data technologies (Spark/Hive Redshift EMR and other AWS technologies). This role involves both overseeing existing data infrastructure and data pipelines as well as developing new ones.


Key job responsibilities
Be handson with ETL to build data pipelines to support automated reporting.
Interface with other technology teams to extract transform and load data from a wide variety of data sources.
Implement data structures using best practices in data modeling ETL/ELT processes and SQL Redshift.
Model data and metadata for adhoc and prebuilt reporting.
Build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Build and deliver high quality data sets to support business intelligence engineers data scientists economists and customer reporting needs.
Manage AWS resources including Glue Redshift MWAA EMR Lambda.
Diagnose and resolve operational issues perform detailed root cause analysis respond to suggestions for enhancements.

A day in the life
As a Data Engineer you will be working with crossfunctional partners from Science Product SDEs Operations and leadership to help them translate raw data into actionable insights for stakeholders by building data pipelines choosing the right data model empowering them to make datadriven decisions.

About the team
Customer Experience and Business Trends is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience globally. We are a team of builders that develop products services ideas and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g. consumers developers sellers/brands employees investors streamers gamers).

Our approach is based on determining the customer need along with problem solving and we work backwards from there. We use technical and nontechnical approaches and stay aware of industry and business trends. We are a global team made up of a diverse set of profiles skills and backgrounds including: Product Managers Software Developers Computer Vision experts Solutions Architects Data Scientists Business Intelligence Engineers Business Analysts Risk Managers and more.

1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions

Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with data visualization software (e.g. AWS QuickSight or Tableau) or opensource project

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 $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.