Data Engineer II, Data Science
5 hours ago
We are seeking an experienced Data Engineer to join our AWS Hardware Engineering team. As a Data Engineer, you will be responsible for designing, implementing, and operating large-scale, high-volume, high-performance data structures for analytics and data science.
You will work closely with our data science team to build efficient and scalable data services, integrating data systems with AWS tools and services to support a variety of customer use cases and applications.
Key Responsibilities:
- Design and implement data ingestion routines using best practices in data modeling, ETL/ELT processes, and leveraging AWS technologies and big data tools.
- Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
- Work with scientists to create fast and efficient algorithms that exploit rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.
- Help improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
Requirements:
- 2+ years of data engineering experience.
- Bachelor's degree in a quantitative/technical field or equivalent industry experience.
- 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.
Why Amazon?
We are committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
We value work-life harmony and strive for flexibility as part of our working culture.
We are continuously raising our performance bar as we strive to become Earth's Best Employer.
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