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Principal Data Engineer

Bunge · Sao Paulo, SP, BR, 05423-010 · Brazil · On-site

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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 4. 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 5. Major Opportunities…