Ger Engenheiro de Dados

Bunge; São Paulo; Híbrido; BRL 25.000 - 40.000; Tempo integral

Resumo da oferta

A Bunge, uma líder mundial em produtos agrícolas, busca um Engenheiro de Dados para integrar sua equipe e impactar decisões estratégicas por meio da análise de dados. Com um ambiente híbrido, essa posição oferece desafios significativos e a oportunidade de trabalhar em projetos que moldam o futuro da indústria, focando em soluções de engenharia de dados e mentoria para o desenvolvimento profissional.

Serviços

Pacote de remuneração competitivo

Tempo livre pago generoso

Programas de progressão de carreira

Ambiente de trabalho flexível

Qualificações

• 6+ anos de experiência em engenharia de dados.
• Experiência com SQL e pelo menos um linguagem de programação preferencial (Python ou Scala).
• Conhecimento em soluções de Big Data e manutenção de data warehouses.

Responsabilidades

• Criar produtos de dados para soluções analíticas.
• Mentorar profissionais de dados e promover a eficiência operacional.
• Desenvolver arquiteturas técnicas para projetos estratégicos.

Conhecimentos

Engenharia de Dados

Python

SQL

Análise de Dados

Hadoop

Spark

Comunicação

Formação académica

Bacharelado em Ciência da Computação

Pós-Graduação ou PhD

Ferramentas

dbt

BigQuery

Hive

Impala

Descrição da oferta de emprego

Location :BAL - SEDE

City :São Paulo, Brasil

State :São Paulo (BR-SP)

Country :Brasil (BR)

Requisition Number :40505

Bunge has an exciting opportunity available for a "Ger Engenheiro de Dados". In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed.

At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work.

Most importantly, in all we do we live our values:

• Act as One Team by fostering inclusion, collaboration, and respect
• Drive for Excellence by being agile, innovative, and efficient
• Do What's Right by acting safely, ethically, and sustainably

Overview:

We are seeking a highly motivated and experienced "Ger Engenheiro de Dados" with strong expertise in data architecture, data engineering and a basic understanding of data products and data mesh. 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. This role requires 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.

Essential Functions :

• Create data products for analytics and data scientistteam members to improve theirproductivity
• Mentor and coach other data andanalytic professionals on data standards andpractices
• Foster a culture of sharing, re-use, design for scalestability, and operational efficiency of data andanalyticalsolutions
• Lead the evaluation, implementation and deployment ofemerging tools and process for analytic dataengineeringin order toimprove the organization'sproductivity as ateam
• Develop and deliver communication and educationplans on analytic data engineering capabilities,standards, andprocesses .
• Partner with business analysts and solutions architectsto develop technical architectures for strategicenterprise projects andinitiatives.
• Learn about machine learning, data science, computervision, artificial intelligence, statistics, and/or appliedmathematics
• Ensure timely analysis and testing for regular maintenance of solutions over time
• Learn about machine learning, data science, computervision, artificial intelligence, statistics, and/or appliedmathematics
• Establishes and implements Data strategy for supply chain.
• Design and develop scalable solutions with international scale.
• Is recognized as an external thought leader at Data Engineerinng and Architecture

Knowledge and Technical Competencies

• Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication skills.
• Can design the necessary data architecture to support the data analytics squads
• Can evaluate different cloud services to implement the most cost efficient solutions
• Deep understand of data mesh concepts
• Can help business structure the data architect solution.
• Develop business awareness of possible use cases

Minimum Requirements:

• Bachelor’s degree required; Computer Science, MIS, or Engineering preferred; Post Graduate or PhD preferred
• 6+ years of experience working in data engineering or architecture role, 10+ preferred
• Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
• Experience developing and maintaining data warehouses in big data solutions
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
• Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
• Big Data Development experience using Hive, Impala and Spark
• 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.

Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.

Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled