Job description

Data de anúncio: 04/08/2022
Localização: São Paulo, São Paulo, BR
Função: Outros
Tipo de vaga: Permanente
Job Requisition ID: 12442

Data Engineer

Nós, da Yara, fazemos parte de uma rede global, colaborando para resolver de forma lucrativa e responsável alguns dos principais desafios do mundo - escassez de recursos, insegurança alimentar e mudanças ambientais.

Apresentação da área

To help us achieve Yara’s ambitions, the Digital Core Solutions (DCS) unit is building digital solutions to optimize our core operations across multiple domains – including production, sales & marketing and sustainability & traceability domains.

A critical focus area for Digital Production is to leverage the vast quantity of data generated as part of our operations. We are building data driven products that help us optimize our production, increase the quality of our products, increase reliability of our production sites, reduce our emissions, increase the safety and productivity of our workers, automate manual processes and more. As a Data Engineer, you will be part of the Data Science Team in Digital Production and play a critical role in ensuring that we are able to do just that.

Descrição da posição | Responsabilidades

As a Data Engineer you would be expected to build, deploy and maintain machine learning data pipelines in production, building relevant APIs & web services. You will be expected to work within agile squads of interdisciplinary experts including business, domain and technology, who are tasked to solve real world problems related to production optimization, emission reduction, safety and more. You will also be expected to connect, extract, transform, perform data wrangling and feature engineering on many complex and huge data sets from various sources.

The ideal candidate is a critical thinker, is passionate about solving engineering and behavioral problems with data and is excited about working in a fast-paced, innovative and collaborative environment as part of the Data Science team.

  • Work closely with technology, engineers and data scientists in defining data elements and sources, wrangle, cleanse and analyze large amounts of data in our cloud-based development and production environment
  • Perform end-to-end/full stack software solutions development and deployment of our Machine Learning (ML) algorithms
  • Write, design, code, test, implement, debug, and validate applications; Develop modular software components; and build analytical dashboards
  • Perform ETL, data wrangling and feature engineering on huge amounts of data that structured, unstructured, time-series and images.

Perfil | Formação e conhecimentos

  • MSc/BSc in Computer Science / Engineering, Machine Learning, or similar
  • 2+ years of experience in data engineering or similar role, preferably you have deployed large-scale, production machine learning systems
  • Highly capable in technologies and programming languages such as SQL, JavaScript, Python, APIs, Git and rapid prototyping, with ability to write clean and efficient code
  • Knowledge in traditional databases and BI dashboards & deployment of cloud solutions.
  • Good knowledge of production data pipelines and web services / APIs supporting modeling techniques in production settings, etc.
  • Ability to perform exploratory data analysis and feature engineering

Informações adicionais

You will report to Head of Data Science . The location will be Sao Paulo, Brazil. Travel to production sites and other Yara locations is expected. Interviews will start 2nd week of August 2022.

Informações de contato

Taimur Qureshi - Head of Data Science

Arne Øygard - HR Manager

Inscreva-se até

Friday 29th of July 2022

Conhecimento cultivado com diversidade
A Yara está comprometida em criar um ambiente diverso e inclusivo e se orgulha de ser uma empresa que oferece oportunidades iguais para todos. Acreditamos em um ambiente de trabalho onde nossos colaboradores se sintam à vontade para ser quem são, estimulando a diversidade e a pluralidade de pensamento. Para isso, ancoramos firmemente a Diversidade e Inclusão (D&I) em nossa estratégia de negócio e temos mais de 400 colaboradores em todo o mundo envolvidos como agentes de D&I.

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