Engenheiro de Dados

Bunge has an exciting opportunity available for Data Engineer in São 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 dont 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 Whats Right by acting safely ethically and sustainably

Overview:

We are seeking a highly motivated and experienced Lead Data Engineer with strong expertise in data architecturedata engineering data analysis reporting and a deep understanding of data products and data mesh concepts. They are an Agile learner possess strong problem-solving skills work as partof 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 ofleveraging 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 organizationsconnected data enabling the organization to advance the data-driven decision-making capabilities of the organizations enterprise.

Essential Functions:

Participates on supply chain data products development projects contributing to the design develop optimize and maintain dataarchitecture and pipelines that adhere to ETL principlesand businessgoals
Solve complex problems without clear precedent requiring application of expertise to analyze the problem to deliver insights thathelps the organizations business to achieve theirgoals
Advise 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 organizationsproductivity as ateam
Partner with business analysts and solutions architectsto develop technical architectures for strategicenterprise projects andinitiatives.
Use knowledge of Bunges business structure and strategy to develop innovative solutions to improve results or eliminate problems.
Build partnerships appropriately influence to gain commitment foster talent and coach others to grow in current or future roles..
Drive results through high standards focus on key priorities organization and preparing others for change.

QualificationsBachelors degree required; Computer Science MIS or Engineering preferred; Post Graduate preferred
3 years of experience working in data engineering or architecture role 5 preferred
Proficient in programming language like Python or R
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.
Exposure to machine learning data science computer vision artificial intelligence statistics and/or applied mathematics
Passionate about Agile software processes data-driven development reliability and experimentation
Experience working on a collaborative Agile product team
Self-motivated with strong problem-solving and learning skills
Flexibility to changes in work direction as the project develops
Excellent communication listening and influencing skills
Demonstrated strong number sense intellectually curious and willing to adjust position based on additional information
Strong work ethic; ability to work at an abstract level and gain consensus