מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Responsibilities include:- Understand existing databases and warehouse structures in order best determine how to consolidate and aggregate data in an efficient and scalable way.- Create and propose technical design documentation, which includes current and future ETL functionality, database objects affected, specifications, and flows and diagrams to detail the proposed implementation.
- Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Mentor junior data engineers.
- Manage AWS resources including EC2, Redshift, S3, etc. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
- Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.
Diverse Experiences
Amazon 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.Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’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.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
משרות נוספות שיכולות לעניין אותך