Data Foundations Engineer — Scalable ETL & Analytics

Amazon Inc.; Seattle (WA); Vor Ort; USD 132.000 - 179.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) matching

Paid time off

Zusammenfassung

Amazon Talent Solutions in Seattle, WA is seeking a Data Engineer to join the ITDS Data Foundations team. You will design and deploy streaming and batch data ingestion architectures that feed analytics and operations for hundreds of downstream integrations.

You will own data schema design, build data warehouses, and develop scalable pipelines, collaborating with analysts and data scientists to unlock business insights at scale.

Qualifikationen

• 3+ years of data engineering experience in large-scale environments.
• Experience with ETL/ELT and OLAP for BI analytics.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related field.
• Experience with data modeling, warehousing, and building ETL pipelines.

Aufgaben

• Design, implement, and automate deployment of a distributed data ingestion system.
• Design data schemas and operate internal data warehouses and SQL/NoSQL databases.
• Own metrics, reports, analyses, and dashboards used by engineers, analysts, and data scientists.
• Monitor and troubleshoot data pipelines for issues.
• Drive architectural plans for future data storage, reporting, and analytic solutions.
• Develop data pipelines capable of processing millions of data points.
• Improve database performance by tuning queries.
• Collaborate with Business Analysts, Data Scientists, and internal partners to identify opportunities.

Kenntnisse

SQL

ETL/ELT

OLAP technologies

Data modeling

Ausbildung

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM roles

Oracle

Jobbeschreibung

Amazon Talent Solutions in Seattle, WA is seeking a Data Engineer to join the ITDS Data Foundations team. You will design and deploy streaming and batch data ingestion architectures that feed analytics and operations for hundreds of downstream integrations.

You will own data schema design, build data warehouses, and develop scalable pipelines, collaborating with analysts and data scientists to unlock business insights at scale.