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.- 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- 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
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https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youโre applying in isnโt listed, please contact your Recruiting Partner.
