Data Engineer II – Marketplace & Partner Data Pipelines

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 132,100 - 178,800

Full time

14 days+

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Job summary

Amazon Web Services, Inc. is seeking a Data Engineer for the AMPS team to build scalable data pipelines and analytics infrastructure. You will partner with Software Engineering, BI, Data Science, and Product teams to enable insights and impact customer reporting.

You will design data models, orchestration with Airflow, and work with Spark, Redshift, Glue, and S3 at scale. Expect to own end‑to‑end data initiatives, ensure data quality, security, and reliability, and contribute to GenAI‑driven

Qualifications

  • 5+ years of data engineering experience.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby.
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience.

Responsibilities

  • Architecture design and implementation of next generation data pipelines and BI solutions.
  • Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
  • Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Skills

Data modeling
ETL pipelines
Programming languages
Big data basics

Education

Master's degree in statistics/data analytics/computer science

Tools

Spark
Hadoop
Redshift
Glue
Airflow
CDK
S3
EC2/RDS

Job description

Amazon Web Services, Inc. is seeking a Data Engineer for the AMPS team to build scalable data pipelines and analytics infrastructure. You will partner with Software Engineering, BI, Data Science, and Product teams to enable insights and impact customer reporting.

You will design data models, orchestration with Airflow, and work with Spark, Redshift, Glue, and S3 at scale. Expect to own end‑to‑end data initiatives, ensure data quality, security, and reliability, and contribute to GenAI‑driven

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