Data Engineer, Talent Mobility Insights

Amazon Inc.; Factoria (WA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon Workforce Solutions is hiring a Data Engineer for Talent Mobility to design, implement, and operate data pipelines that power hiring analytics and decision making across WW Stores, AWS, Devices, and Talent Acquisition.

You will collaborate with business analysts, data scientists, and engineers to build scalable data models, warehouses, and dashboards using SQL/NoSQL and ETL/ELT processes, with AWS tools like Redshift, S3, Glue, and EMR.

Qualifications

• 3+ years of data engineering experience.
• 2+ years of ETL/ELT processes experience.
• 2+ years of OLAP analytics experience.
• 2+ years of data modeling and SQL experience.
• 2+ years of ETL/ELT processes experience.

Responsibilities

• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
• Monitor and troubleshoot operational or data issues in the data pipelines.
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
• Develop code based automated data pipelines able to process millions of data points.
• Improve database and data warehouse performance by tuning inefficient queries.
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
• Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.

Job description

Amazon Workforce Solutions is hiring a Data Engineer for Talent Mobility to design, implement, and operate data pipelines that power hiring analytics and decision making across WW Stores, AWS, Devices, and Talent Acquisition.

You will collaborate with business analysts, data scientists, and engineers to build scalable data models, warehouses, and dashboards using SQL/NoSQL and ETL/ELT processes, with AWS tools like Redshift, S3, Glue, and EMR.