Data Engineering Specialist for Large-Scale Data Infrastructure
13 hours ago
As a key member of the International Devices Data Services team at Amazon, you will play a vital role in enabling data-driven decision making across the organization. With a focus on building and maintaining large-scale data infrastructure, you will work closely with engineers and analysts to design, implement, and operate high-performance data sets.
The ideal candidate will have 3+ years of experience in data engineering, with expertise in data modeling, warehousing, and building ETL pipelines using AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. Experience with modern scripting or programming languages like Python, Java, Scala, or NodeJS is also essential.
Key responsibilities include owning and operating the data engineering infrastructure used by partner teams and international locales, designing and implementing large-scale, high-volume, high-performance data sets, and collaborating with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
The salary for this position is estimated to be around $140,000-$170,000 per year, depending on location and experience. This figure is based on national averages and may vary depending on the specific requirements of the role and the qualifications of the candidate.
About the team: The IDDS team is a diverse mix of talent, combining Business Intelligence Engineers, Data Engineers, and Technical Program Managers into a single team that owns data-driven solutions end-to-end. We have technical skills across a wide range of technologies and AWS services to deploy solutions at scale.
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