Data Engineer: Scalable Pipelines & Data Platforms
Amazon Inc.
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Job summary
Amazon.com Services LLC in Seattle, WA is seeking a talented Data Engineer to help build trust through scalable data platforms. You will unify data pipelines, model data, and deliver robust ETL/ELT processes powering analytics across product areas.
Responsibilities include designing scalable data models, ensuring data lineage, and collaborating with software engineers and product teams to drive insights. The role offers high visibility and impact in a fast-paced environment with growth
Qualifications
- 3+ years of data engineering experience.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience with OLAP technologies for BI analytics.
- SQL and Oracle experience.
Responsibilities
- Architect scalable, reliable data pipelines and infrastructure for analytics and operations.
- Define data modeling standards, data lineage, and governance across systems.
- Lead design and code reviews, promoting best practices in data development and testing.
- Build data platforms supporting batch and real-time analytics.
- Collaborate with cross-functional teams to gather data requirements and align solutions.
- Mentor junior engineers and contribute to hiring and onboarding.
Skills
Education
Tools
Job description
Amazon.com Services LLC in Seattle, WA is seeking a talented Data Engineer to help build trust through scalable data platforms. You will unify data pipelines, model data, and deliver robust ETL/ELT processes powering analytics across product areas.
Responsibilities include designing scalable data models, ensuring data lineage, and collaborating with software engineers and product teams to drive insights. The role offers high visibility and impact in a fast-paced environment with growth
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