Data Engineer: Seller Trust & Platform Analytics

Amazon Inc.

Austin (TX)

In loco

USD 132.000 - 179.000

Tempo pieno

35 ore fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Amazon seeks an exceptional Data Engineer to unify data pipelines and build scalable data platforms powering decision making across seller trust and analytics. You will model multidimensional datasets, design ETL/ELT processes, and partner with engineers and product teams to deliver robust data solutions.

The role emphasizes data lineage, governance, and security across scalable architectures, with opportunities to influence senior leadership and drive impactful results.

Competenze

  • 3+ years of data engineering experience.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience with AWS technologies is preferred.

Mansioni

  • Architect and unify fragmented data pipelines across product areas.
  • Build robust data models and ensure reliable data lineage.
  • Lead reviews and drive engineering best practices for data development and monitoring.
  • Develop data platforms supporting batch and real-time analytics.
  • Collaborate with cross-functional teams to align data solutions with business needs.
  • Mentor junior engineers and contribute to team onboarding.

Conoscenze

Data engineering
SQL
ETL/ELT
Data modeling
OLAP technologies
Big data

Formazione

Bachelor's degree in Computer Science / Engineering / Information Systems / Mathematics

Strumenti

Redshift
S3
AWS Glue
EMR
Kinesis
Firehose
Lambda
IAM

Descrizione del lavoro

Amazon seeks an exceptional Data Engineer to unify data pipelines and build scalable data platforms powering decision making across seller trust and analytics. You will model multidimensional datasets, design ETL/ELT processes, and partner with engineers and product teams to deliver robust data solutions.

The role emphasizes data lineage, governance, and security across scalable architectures, with opportunities to influence senior leadership and drive impactful results.

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