15h Left: Data Engineer Ii, Data Engineering

Description Would you like to work on one of the world s largest transactional distributed systems How about working with customers and peers from the entire range of Amazon s business on cool new features Whether you re passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems Selling Partner Services SPS is the place for you Our team is responsible for Case Management System We are looking for data engineers who thrive on complex problems and solve for operating complex and mission critical systems under high loads Our systems manage case resolution systems with hundreds of millions of requests and respond to millions of service requests We have great data engineering and science opportunities We are aimed to provide customizable and LLM based solution to our clients Do you think you are up for this challenge Or would you like to learn more and stretch your skills and career The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle including design development documentation testing and maintenance They must possess good verbal and written communication skills be self-driven and deliver high quality results in a fast paced environment You will thrive in our collaborative environment working alongside accomplished engineers who value teamwork and technical excellence We re looking for experienced technical leaders Key job responsibilities 1 Design implement automation and manage our massive data infrastructure to scale for the analytics needs of case management 2 Build solutions to achieve BAA Best At Amazon standards for system efficiency IMR efficiency data availability consistency compliance 3 Enable efficient data exploration experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets 4 Design and implement scalable and cost effective data infrastructure to enable Non-IN Emerging Marketplaces and WW use cases on our data platform 5 Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL Amazon and AWS big data technologies 6 Must possess strong verbal and written communication skills be self-driven and deliver high quality results in a fast-paced environment 7 Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations 8 Enjoy working closely with your peers in a group of very smart and talented engineers Basic Qualifications - 3 years of data engineering experience - Experience with SQL - Experience with data modeling warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS - Experience as a data engineer or related specialty e g software engineer business intelligence engineer data scientist with a track record of manipulating processing and extracting value from large datasets Preferred Qualifications - Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions - Experience building large-scale high-throughput 24x7 data systems - Experience with big data technologies such as Hadoop Hive Spark EMR - Experience providing technical leadership and mentoring other engineers for best practices on data engineering 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 you re applying in isn t listed please contact your Recruiting Partner