Data Engineer II, Amazon Payment Products en Amazon

Description

Amazon is seeking a talented Data Engineer II to join our team. In this role, you will design, build, and optimize data infrastructure that enables data-driven decision making across the organization. You'll work autonomously on complex data challenges while collaborating with cross-functional teams to deliver high-quality data solutions.

Key job responsibilities

Design, build, and optimize logical data models and data pipelines for complex datasets

Own ongoing data quality and create self-service access to datasets for business intelligence

Work on major portions of existing or new data architecture within the team

Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions

Write secure, stable, testable, and maintainable code with minimal defects

Apply appropriate data design approaches and make judicious trade-offs without over-engineering

Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure

Participate actively in code reviews, design discussions, and team planning

Mentor and train junior team members and new peers

Resolve root causes of complex problems and balance customer requirements with team needs

Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases)

A day in the life

As a DE II, you'll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the team's data architecture while maintaining high standards of operational excellence.

Basic Qualifications

• 3+ years of data engineering experience

• 4+ years of SQL experience

• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

• Experience building data pipelines and ETL processes for large language models (LLMs) and generative AI applications

• Knowledge of vector databases and embeddings for semantic search and GenAI applications

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.