Data Engineer II - Build Scalable Analytics on AWS

Amazon Web Services (AWS); Bellevue (WA); On-site; USD 132,100 - 178,800; Full time

Benefits offered by this job

Sign-on payments

RSUs

Health insurance

Paid time off

Parental leave

Job summary

Amazon Development Center U.S., Inc. is seeking an experienced Data Engineer to build data pipelines, data warehouses, and BI solutions on the AWS stack. You will collaborate with product and finance teams to deliver actionable insights and scalable data models.

You will mentor colleagues and drive best practices in data engineering, analytics, and reporting, delivering timely insights for senior leadership across the business.

Qualifications

• 5+ years of data engineering experience.
• 3+ years building and operating large-scale data structures for BI analytics using ETL/ELT.
• 3+ years building and operating large-scale data structures for BI analytics using OLAP.
• 3+ years building and operating large-scale data structures for BI analytics using data modeling.
• 3+ years building and operating large-scale data structures for BI analytics using SQL.
• Experience with data modeling, warehousing and ETL pipelines.

Responsibilities

• Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack.
• Develop and manage ETLs to source data and create unified analytics data model.
• Create dashboards with BI tools (e.g., QuickSight) for senior leadership.
• Enable self-serve analytics for internal customers and support ad-hoc reporting.
• Understand vast data sources and select data to solve business problems.
• Collaborate with Product, Finance, Service Eng, and Sales on analytics needs.
• Manage multiple requests, prioritize as needed.
• Partner across teams and mentor engineers to grow the team.

Skills

Data engineering

ETL/ELT

OLAP analytics

Data modeling

SQL

Tools

Redshift

S3

Glue

EMR

Kinesis

Lambda

Job description

Amazon Development Center U.S., Inc. is seeking an experienced Data Engineer to build data pipelines, data warehouses, and BI solutions on the AWS stack. You will collaborate with product and finance teams to deliver actionable insights and scalable data models.

You will mentor colleagues and drive best practices in data engineering, analytics, and reporting, delivering timely insights for senior leadership across the business.