Job Description

Cidade : São Paulo, Brasil Estado : São Paulo (BR-SP) País : Brasil (BR) Número da Vaga : 48050

Principal Data Engineer

Role Purpose Statement

We are seeking a highly motivated and experienced Lead Data Engineer with strong expertise in data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy. At Bunge, you will be at the forefront of leveraging data analytics and technology to feed and fuel the world in a better, faster, and simpler way. Data Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise.

Main Accountabilities

• Solve complex data problems to deliver insights that helps the organization's business to achieve their goals​
• Create data products for analytics and data scientist team members to improve their productivity​
• Mentor and coach other data and analytic professionals on data standards and practices​
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions​
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve the organization's productivity as a team​
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes​.
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.​
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Ensure timely analysis and testing for regular maintenance of solutions over time
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

1. Impact/Dimensions:

Establishes and implements organization, function and/or sub-function short to mid term (1-3 years) strategy. Projects/initiatives lead have impact on business on a domestic or international scale; Is recognized as an external thought leader within strategic function or discipline.

Key Performance Indicators (KPIs)

Accountable for the results of a large and/or moderately complex project(s). Provides input on resource planning and policy development.

Responsible for the roadmap execution and adjustment

1. Major Opportunities and Decisions:

The problems faced are difficult and often complex and multi-dimensional. Decisions and problem-solving are guided by policies, procedures, and business plan; Anticipates and interprets internal or external issues and recommends solutions/best practices. Applies acquired expertise to analyze and solve problems without clear precedent.

1. Management/Leadership:

Manages operational plans, large projects and/or processes with limited oversight from manager. Leads and/or participates with comparable influence in large projects/initiatives; AND/OR provides leadership to professionals and support. Contributes to short to mid term (1-3 years) talent optimization plans to execute on strategies in job area.

1. Key Relations:

Stakeholders of this role include Leadership team members, business leaders as well as technical experts making highly developed interpersonal & soft skills are important. One should be tech-savvy and business-savvy as well, should understand business, different types of data analytics technologies, apply methods to valuable authentication, prevent frauds. It is crucial to shape data products in alignment with corporate strategy and provide data insights leading to business directions

1. Knowledge and Technical Competencies:

• Proficient in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)​
• Conceptual understanding of data mesh
• Can help business structure the data solution.
• Develop business awareness of possible use cases.
• SQL Avançado incluindo funções analíticas (Window Functions)
• Python
• Conhecimentos em Google Cloud Platform
• Bigquery
• DataForm
• Cloud Functions
• Airflow/Composer
• Scheduler
• Ferramentas de Versionamento (Git)
• Terraform
• Azure DevOps

Education & Experience

• PhD in STEM field and 2+ years experience or 5+ years experience as Data Engineer II
• Plays a significant role in developing other juniors, act as a technical consultant to product managers, and valued as an asset to any data science projects.
• Domain expert and functional advisor for business stakeholders
• Handle most of the day-to-day communications with the product owners.
• Leads all internal meetings as well as weekly or fortnightly reports on the team’s progress.
• Divide their project into workstreams led by Senior Data Engineers and delegate tasks efficiently. Ensure that the project is well executed and deliverables are completed according to the timeline.

Na Bunge, nosso objetivo é conectar agricultores a consumidores para fornecer alimentos, ingredientes para nutrição animal e combustível essenciais para o mundo. Como uma fornecedora líder de soluções para o agronegócio, nossa equipe de aproximadamente 34.000 colaboradores dedicados atua em parceria com agricultores ao redor do mundo para movimentar commodities agrícolas de onde são produzidas para onde são necessárias — de maneira mais rápida, inteligente e eficiente. Somos uma empresa líder mundial em originação, armazenamento, distribuição, além de processamento e refino de oleaginosas, oferecendo um amplo portfólio de óleos, gorduras e proteínas de origem vegetal. Atuamos lado a lado com nossos clientes em ambas as pontas da cadeia de valor para fornecer produtos de qualidade e desenvolver soluções inovadoras e personalizadas que atendam às necessidades em constante evolução dos consumidores. Com mais de 200 anos de experiência e presença em mais de 50 países, temos o compromisso de fortalecer a segurança alimentar global, promover a sustentabilidade e contribuir para a prosperidade das comunidades onde operamos. A Bunge tem sede registrada em Genebra, Suíça, e sua sede corporativa está localizada em St. Louis, Missouri, EUA. Saiba mais em bunge.com.br.

Diariamente, nossos profissionais incorporam os valores que são a essência da Bunge:

• SOMOS UM SÓ TIME– Colaborativo, respeitoso e inclusivo
• LIDERAMOS O CAMINHO – Somos ágeis, Empoderados e inovadores
• FAZEMOS O QUE É CERTO – Com segurança, de forma sustentável e com integridade

Reconhecemos que nosso sucesso depende da variedade de perspectivas que cada um de nossos colaboradores agrega à Bunge. Estamos empenhados em promover práticas para nutrir uma cultura de pertencimento para todos. Globalmente, apoiamos os Princípios de Empoderamento das Mulheres, de ONU Mulheres. No Brasil, somos associados ao Mover - Movimento pela Equidade Racial, e fomos eleitos pela ferramenta global Disability Index Report® como um dos melhores locais para se trabalhar em relação à inclusão de pessoas com deficiência. Atuamos continuamente em prol de nosso compromisso de deixar um legado positivo em todas as comunidades onde atuamos.

Se você se identifica com esses valores, junte-se a nós! Valorizamos e investimos em pessoas que acreditam em nosso propósito e o vivenciam com entusiasmo a cada dia – pessoas que têm #OrgulhodeSerBunge