Data Engineer II, IN Ads

Amazon; Asti; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading e-commerce and technology company in Italy is seeking a Data Engineer to lead data engineering efforts for their Ads organization. You will design and implement big data architectures, automate data pipelines, and collaborate with teams to provide actionable insights. The ideal candidate has over 3 years of experience in data engineering and is proficient in SQL and AWS technologies. This role offers an inclusive culture and opportunities for professional growth.

Competenze

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and ETL pipelines.
• Experience with SQL.

Mansioni

• Design and deliver big data architectures for data consumption.
• Develop end-to-end automation of data pipelines.
• Create monitoring dashboards for data integrity.
• Translate business inquiries into analytical frameworks.
• Support statistical test designs and analysis.
• Act as a subject matter expert for data structures.

Conoscenze

Data modeling

Building ETL pipelines

SQL

Strumenti

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Lambda

Descrizione del lavoro

Over the past 20 years Amazon has earned the trust of over 300 million customers worldwide by providing unprecedented convenience, selection and value on Amazon.com. By deploying Amazon Ad’s products and services, we provide insights into how Brands are performing in comparison to their Ads spends. In this role, you will lead Data Engineering efforts to drive automation for Amazon Ads organization. You will be part of the data engineering team that will envision, build and deliver high-performance, and fault-tolerant data pipeliens. As a Data Engineer, you will be working with cross-functional partners from Science, Product, SDEs, Operations and leadership to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions.

Key job responsibilities

• Design and deliver big data architectures for experimental and production consumption between scientists and software engineering.
• Develop the end-to-end automation of data pipelines, making datasets readily-consumable by science and engineering teams.
• Create automated alarming and dashboards to monitor data integrity.
• Collaborate with internal and external partners to translate business inquiries into an analytical framework using BI tools
• Support designing and analyzing statistical tests (e.g., A/B tests) and applying statistical methods to inform data-driven decisions
• Act as the subject matter expert for the data structure and usage.

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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