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DATA SOFTWARE ENGINEER

Porto de Mós - Leiria

Descrição da oferta de emprego

Descripción del puesto.
(COMPANY NAME) exists for the love of fashion.
Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.
We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers.
This community is at the heart of our business success.
We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone.
We are (COMPANY NAME) for All.
TECHNOLOGY We're on a mission to build the technology that powers the global platform for luxury fashion.
We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it.
We're empowered to break traditions and revolutionise, with the freedom and autonomy to make a difference for our customers all over the world.
PORTO Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment.
From Account Management to Technology and Product, whatever your skills are, you'll find your fit here.
You can have an informal meeting in the treehouse or play the piano in your lunch break! THE ROLE Data Teams at (COMPANY NAME) are committed to turning the company into a leading e-commerce platform.
As such, they are constantly looking for brilliant people who like the challenges that a fast growing, data driven company faces in its path to become a market leader.
You will be integrated in the Data Engineering team, being responsible for helping maintain and develop the custom tools needed to build the demanding data pipelines (COMPANY NAME) needs.
WHAT YOU'LL DO * Design scalable, end-to-end data pipelines to consume and integrate large volumes of complex data from multiple sources.
* Maintain and develop the tools needed for a self-serving data architecture approach.
* Provide Data Engineering expertise to multiple teams across our organisation.
* Research and implement new data technologies.
* Work with the team to set and maintain standards and development practices.
WHO YOU ARE * You have 2+ years of experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool.
* Proficient in one of the following programming languages.
Scala (plus), C#, Java, Python.
* Knowledgeable of distributed systems and distributed data processing frameworks like Spark (plus), Flink.
* Experienced with git version control and CI/CD deployment principles.
* Experience working with cloud environments is a plus (eg.
AWS, GCP, Azure).
* Experience in working with Databricks environments and airflow is a plus.
* You have an intermediate level in English, both written and spoken.
* You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude.
EQUAL OPPORTUNITIES STATEMENT * (COMPANY NAME) is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process.
We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
We continue to build our consciously inclusive culture as part of our Positively (COMPANY NAME) strategy throughout our business, partnerships and communities.
You will be integrated in the Data Engineering team, being responsible for helping maintain and develop the custom tools needed to build the demanding data pipelines (COMPANY NAME) needs
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Detalhes da oferta

Empresa
  • Indeterminado
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 07/11/2024
Data de expiração
  • 05/02/2025
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