Senior Data Engineer - AI-Powered Analytics Platform Lead

Amazon Inc.; Asti; Ibrido; EUR 136.000 - 184.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401(k) matching

Paid time off

Descrizione del lavoro

Amazon Development Center U.S., Inc. is seeking a Senior Data Engineer to own multiple data domains end-to-end, manage hundreds of pipelines, and drive scalable architectural improvements.

You will partner with AWS service teams to design data contracts, build ingestion flows, and deliver analytical models that support executive decision-making. Ideal candidates are technically oriented leaders who thrive in ambiguity, with hands-on SQL, ETL, and data processing experience, and familiarity with

Competenze

• 7+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience in at least one modern scripting or programming language (Python, Java, Scala, NodeJS).
• Experience mentoring team members on best practices.
• Experience with MPP databases (Amazon Redshift).
• Experience building/operating highly available, distributed systems for data extraction, ingestion, and processing.

Mansioni

• Own 3-5 data domains end-to-end and operate hundreds of pipelines.
• Drive architectural improvements impacting AWS leadership decisions.
• Design data contracts, build ingestion flows, and deliver analytical models for the organization.

Conoscenze

7+ years experience

Data modeling

SQL

Python/Java/Scala/NodeJS

Mentoring

Redshift

Distributed data pipelines

Formazione

Bachelor's degree in CS/Engineering/Analytics/Math/Statistics/IT

Strumenti

Hadoop

Hive

Spark

EMR

Descrizione del lavoro

Amazon Development Center U.S., Inc. is seeking a Senior Data Engineer to own multiple data domains end-to-end, manage hundreds of pipelines, and drive scalable architectural improvements.

You will partner with AWS service teams to design data contracts, build ingestion flows, and deliver analytical models that support executive decision-making. Ideal candidates are technically oriented leaders who thrive in ambiguity, with hands-on SQL, ETL, and data processing experience, and familiarity with