Data Engineer, Workforce Solutions: Talent Mobility

Amazon

Factoria (WA)

On-site

USD 101,000 - 160,000

Full time

2 days ago
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Job summary

Amazon is seeking a Data Engineer for Workforce Solutions - Talent Mobility in Bellevue, WA. The role focuses on designing and deploying scalable data pipelines, building dashboards, and partnering with analysts and scientists to empower data-driven decisions across Amazon's hiring platforms.

You will own data schemas, warehouses, and ETL processes, enabling insights for WW Stores, AWS, Devices, and Talent Acquisition with a strong emphasis on collaboration and operational excellence.

Qualifications

  • 1+ years of data engineering experience.
  • Experience with data modeling, warehousing and ETL pipelines.
  • Experience with SQL-based query languages (e.g., SQL, HiveQL, SparkSQL).
  • Experience with scripting languages such as Python.

Responsibilities

  • Design, implement, and automate deployment of distributed data collection pipelines.
  • Design data schemas and operate internal data warehouses and SQL/NoSQL stores.
  • Develop metrics, reports, analyses, and dashboards for engineers and data scientists.
  • Monitor and troubleshoot data pipeline issues.
  • Drive architectural plans for data storage and analytic solutions.
  • Build code-based pipelines processing millions of data points.
  • Tune queries to improve database and warehouse performance.
  • Collaborate with analysts and data scientists to identify opportunities.
  • Assist with root-cause research and defect resolution.

Skills

Data engineering
Data modeling
ETL pipelines
SQL
Python

Tools

Hadoop
Hive
Spark
EMR

Job description

Amazon is seeking a Data Engineer for Workforce Solutions - Talent Mobility in Bellevue, WA. The role focuses on designing and deploying scalable data pipelines, building dashboards, and partnering with analysts and scientists to empower data-driven decisions across Amazon's hiring platforms.

You will own data schemas, warehouses, and ETL processes, enabling insights for WW Stores, AWS, Devices, and Talent Acquisition with a strong emphasis on collaboration and operational excellence.

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