Data Platform Engineer - AWS & ETL Analytics

Amazon Inc.; Irving (TX); In loco; USD 132.000 - 179.000; Tempo pieno

Descrizione del lavoro

Amazon.com Services LLC is seeking a Data Engineer to design, build, and maintain scalable data pipelines and a reliable data platform for Operations Finance reporting and analytics. You will work with Python, SQL and AWS services to support data-driven decision making across business units.

The role emphasizes governance, data quality, and collaboration with Finance, Product and BI teams, in a fast-paced cloud environment. Prior experience with large-scale data warehouses is preferred.

Competenze

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Bachelor's degree required.
• Experience in at least one modern scripting or programming language (Python/Java/Scala/NodeJS).
• Knowledge of distributed systems as it pertains to data storage and computing.

Mansioni

• Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services.
• Develop high-quality data architecture and scalable pipelines to support customer reporting.
• Interface with technology teams to extract, transform, and load data from various sources.
• Collaborate with business users, developers, and BI Engineers to deliver data architecture projects.
• Participate in code reviews, design discussions, and planning; improve reporting processes and automate self-service support.
• Identify and implement process improvements to drive innovation and scale solutions.
• Diagnose and resolve operational issues with root-cause analysis to ensure reliability.

Conoscenze

Data modeling

ETL pipelines

Data warehousing

SQL

Distributed systems

Formazione

Bachelor's degree

Strumenti

Python

Java

Scala

NodeJS

Redshift

S3

Glue

EMR

Kinesis

Lambda

IAM

Descrizione del lavoro

Amazon.com Services LLC is seeking a Data Engineer to design, build, and maintain scalable data pipelines and a reliable data platform for Operations Finance reporting and analytics. You will work with Python, SQL and AWS services to support data-driven decision making across business units.

The role emphasizes governance, data quality, and collaboration with Finance, Product and BI teams, in a fast-paced cloud environment. Prior experience with large-scale data warehouses is preferred.