Data Engineer I, DSP Analytics
Core
Design and build real-time and batch data pipelines, data warehousing solutions, and ETL processes to support GenAI applications and scalable analytical platforms for Amazon's Delivery Service Partner program.
Role type
Data Engineer I
Builds
Data infrastructure, ETL pipelines, and data warehousing solutions for GenAI applications
Domain
Logistics / Data Engineering / Generative AI
Deliverable
production ML models
Required skills
SQL, Python, ETL pipeline development, data modeling, data warehousing, data quality validation, data privacy and security implementation, pipeline monitoring, documentation
Preferred skills
Big data technologies (Hadoop, Hive, Spark, EMR), AWS technologies (Redshift, S3, AWS Glue, Kinesis, Lambda), Generative AI tools integration
Technologies
SQL, Python, Hadoop, Hive, Spark, EMR, AWS Redshift, AWS S3, AWS Glue, AWS Kinesis, AWS Lambda
Responsibilities
Design and maintain robust data pipelines; Develop and optimize ETL processes; Implement and manage data warehousing solutions; Establish data quality standards; Optimize data pipelines for large volumes; Ensure data privacy and security; Collaborate with data scientists and analysts; Maintain comprehensive documentation; Implement monitoring solutions; Keep abreast of industry trends
Seniority
Junior, hands-on IC