Data Engineer, Workforce Solutions — Analytics & Pipelines

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

Job summary

Amazon.com Services LLC is seeking a Data Engineer in Bellevue, WA to design, build, and operate large-scale data pipelines for BI analytics. You will shape data architectures, implement ETL/ELT processes, and deliver dashboards used by engineers and data scientists to drive strategic decisions.

You will collaborate across teams, optimize data warehousing and analytics solutions, and contribute to scalable data models while leveraging AWS services such as Redshift, S3, Glue, EMR, Kinesis,

Qualifications

• 3+ years of data engineering experience.
• 2+ years of developing and operating ETL/ELT processes for BI analytics.
• 2+ years of OLAP analytics experience.
• 2+ years of data modeling experience.
• 2+ years of SQL experience.
• Experience with data modeling, warehousing and ETL pipelines.

Responsibilities

• Design, implement, and automate deployment of distributed data system for collecting and processing log events from multiple sources.
• Design data schema and operate internal data warehouses and SQL/NoSQL databases.
• Own the design, development, and maintenance of metrics, reports, analyses, and dashboards used to drive business decisions.
• Monitor and troubleshoot operational or data issues in the data pipelines.
• Drive architectural plans for future data storage, reporting, and analytics solutions.
• Develop code-based automated data pipelines able to process millions of data points.
• Improve database and data warehouse performance by tuning queries.
• Collaborate with Business Analysts, Data Scientists, and other partners to identify opportunities.

Skills

Data engineering

ETL/ELT pipelines

OLAP analytics

Data modeling

SQL

Education

Bachelor’s degree in Computer Science/Engineering/IS/Math

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Job description

Amazon.com Services LLC is seeking a Data Engineer in Bellevue, WA to design, build, and operate large-scale data pipelines for BI analytics. You will shape data architectures, implement ETL/ELT processes, and deliver dashboards used by engineers and data scientists to drive strategic decisions.

You will collaborate across teams, optimize data warehousing and analytics solutions, and contribute to scalable data models while leveraging AWS services such as Redshift, S3, Glue, EMR, Kinesis,