Manager, Data Engineering, Amazon Pay

Over the past 20 years Amazon has earned the trust of over 300 million customers worldwide by providing unprecedented convenience, selection and value on By deploying Amazon Pay's products and services, merchants make it easy for these millions of customers to safely purchase from their third party sites using the information already stored in their Amazon account.

About the position:

Amazon Pay organization is looking for a passionate, results-oriented Data Engineering Manager to lead a team of data engineers and build a world class data platform. You will be leading a team of Data Engineers to build big data solutions. You will have a company-wide view of the Data Engineering solutions and will consistently think in terms of driving efficiencies through automation. This high impact role will have an opportunity to lead a team to help design and build our data infrastructure and work with big data technologies and AWS services while driving business intelligence solutions end-to-end: business requirements, workflow instrumentation, data modeling and ETL. You should be an expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake and into end-user facing applications. The role requires someone who loves data, understands enterprise information systems, has a strong business sense, and can lead a team to put these skills into action.

BASIC QUALIFICATIONS

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)

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Posted: February 21, 2025 (Updated 1 day ago)

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