Data Engineer II, Ring Data Warehouse

Amazon; Asti; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading technology company is seeking a Data Engineer in Asti, Italy. The successful candidate will build and maintain data pipelines, collaborate with business stakeholders, and enhance data systems using AWS technologies. Candidates should have over 3 years of data engineering experience, familiarity with SQL, and experience in developing ETL pipelines. This position offers a great opportunity to improve customer experience through innovative data solutions.

Competenze

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with SQL.
• Experience with Gen AI enhanced development pipelines.

Mansioni

• Collect and discuss requirements from Business Stakeholders.
• Build new data ingestions using AWS services and Amazon tools.
• Maintain/improve existing data ingestions.
• Build/Improve/Maintain frameworks for data management.
• Perform code reviews and ensure best practices.
• Build and update AI agents to streamline tasks.

Conoscenze

Data modeling

Building ETL pipelines

SQL

Gen AI enhanced development

Strumenti

AWS Redshift

AWS S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM roles and permissions

Descrizione del lavoro

Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with software development engineers, scientists, and business stakeholders across various verticals. You will design, evangelize, and implement efficient solutions that help us provide a great customer experience at a greater velocity.

Build and maintain efficient, scalable, and privacy/security compliant data pipelines to support business stakeholders using native AWS and Amazon internal tools.

A day in the life

• Collect and discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.
• Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools.
• Maintain/improve existing data ingestions and ensure they meet evolving standards and corporate mandates.
• Build/Improve/Maintain frameworks or tools for internal team and external stakeholder usage to manage data.
• Perform code reviews and ensure best practices are followed for ETL and data hygiene by team members and supporting teams.
• Build and update AI agents to streamline data engineering tasks.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience with Gen AI enhanced development pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.