Data Engineer [1 Year], ATE Data Engineering Team

Amazon ATE (Analytics Technology and Engineering) team is seeking a Data Engineer with deep expertise in data management and analytics. This is a one-year contract position focused on building sophisticated data solutions. The role combines hands-on technical work with business impact, requiring expertise in data engineering, ETL processes, and analytics.

The position involves working with cutting-edge AWS technologies including Redshift, S3, and RDS to create scalable data solutions. You'll be responsible for implementing data flows from production systems to end-user applications, handling complex challenges related to data volume and performance. The role requires both technical depth in data engineering and the ability to collaborate with various teams to deliver business value through data.

The ideal candidate will have experience with data modeling, warehousing, and ETL pipelines, along with proficiency in SQL and scripting languages like Python. Knowledge of big data technologies such as Hadoop, Hive, and Spark is a plus. This role offers an opportunity to work with enterprise-scale data challenges while contributing to Amazon's data-driven decision-making culture.

Working at Amazon means being part of a global technology leader, with access to cutting-edge tools and technologies. You'll join a team that values innovation, technical excellence, and customer obsession. The role offers exposure to complex data challenges and the opportunity to work with talented engineers while building solutions that impact millions of users.