Data Engineer I: End-to-End Data Pipelines & AWS

Amazon Inc.; Leeds; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Amazon Extra Large (AMXL) is seeking a data engineer who is customer focused, analytical and technically skilled to drive performance measurement, innovation and execution. You will design and operate data platforms and ETL components using Python, SQL and AWS services to deliver scalable insights for AMXL teams.

You will collaborate with program managers, engineers, analysts and business partners to build end-to-end data pipelines, models and dashboards, maintain data quality, and automate

Qualifications

• Experience in data engineering.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query languages such as SQL, PL/SQL, DDL, HiveQL, SparkSQL or Scala.
• Experience with one or more scripting languages such as Python.

Responsibilities

• Ingest data from multiple partners and create scalable data solutions.
• Design, develop and operate data pipelines and platforms.
• Collaborate with cross-functional teams to deliver data products.
• Improve data tooling, processes and scalability for the organization.
• Maintain data quality and build dashboards/reports for customers.
• Automate deployments and manage AWS-based data services.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

Python

Tools

AWS services

Redshift

S3

Glue

Job description

Amazon Extra Large (AMXL) is seeking a data engineer who is customer focused, analytical and technically skilled to drive performance measurement, innovation and execution. You will design and operate data platforms and ETL components using Python, SQL and AWS services to deliver scalable insights for AMXL teams.

You will collaborate with program managers, engineers, analysts and business partners to build end-to-end data pipelines, models and dashboards, maintain data quality, and automate