Data Engineer

Data Engineer Responsibilities:
• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
• Solve complex data problems to deliver insights that helps the organizations business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Advise, consult, 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 organizations 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

Qualifications/Requirements:
• Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
• 5 years of experience working in data engineering or architecture role, 7+ preferred (3 years with 5 preferred for junior role)
• 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
• Worked with BI tools such as Tableau, Power BI, Looker, Shiny
• 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, Spark and familiarity with Kafka (Preferred)
• Familiarity with the Linux operating system (Preferred)
• 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

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. 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