Senior Data Scientist Role
5 dni temu
Bunge is a leading global agribusiness with a rich history dating back to 1818. The company has an expansive network that 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. With a strong commitment to innovation and sustainability, Bunge aims to continuously reinvent itself, leveraging data to drive business growth.
Job Responsibilities
The Senior Data Engineer will work closely with a multidisciplinary Agile team to design and implement 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 enterprise. This role requires an agile learner, strong problem-solving skills, and the ability to work as part of a technical, cross-functional analytics team to solve complex data problems and deliver insights that enable analytics strategy.
Essential Functions
This role involves solving complex supply chain data problems to deliver insights that help the organization's business achieve their goals. You will 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, and foster a culture of sharing, re-use, design for scalability, and operational efficiency of data and analytical solutions. Additionally, you will lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve the organization's productivity as a team. You will 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, and ensure timely analysis and testing for regular maintenance of solutions over time.
Qualifications
To be successful in this role, you will need a PhD in STEM field with research experience in Data Science or postgraduate degree in STEM field with 3-5 years' experience as Lead Data Engineer. You should have expertise in SQL and data analysis, experience with at least one programming language (Python or Scala preferred), and experience developing and maintaining data lakes or lake-house platforms. Additionally, you should have experience with GCP portfolio (BigQuery, DataStream, DataProc, DataPlex, and DataForm) and cloud computing services and infrastructure in the data and analytics space. You will also need to have a deep understanding of data mesh concepts, database development experience using Hadoop or BigQuery, and familiarity with a variety of relational, NoSQL, and cloud database technologies.
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