Amazon Data Engineer II Managed Operations Engineering & Science MOEDS 

United States, Kansas 

790878098

This position requires that the candidate selected be a U.S. Citizen.Key job responsibilities
- Collaboration and Product Development: Interact with business and software teams to understand their business requirements and operational processes, to inform system design
- Data Modeling and Architecture: Develop robust data models and architectures that support the organization's data-driven initiatives, ensuring data quality, consistency, and accessibility.
- Data Pipeline Development: Design, build, and maintain efficient, scalable, and reliable data pipelines to ingest, transform, and load data from various sources into a unified data platform.
- Scalability and Performance: Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.
- Documentation & Continuous Improvement: Create, enhance, and maintain technical documentation
Utility Computing (UC)Work/Life BalanceMentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- 5+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions