Data Engineer II

2 meses atrás

São Paulo, São Paulo, Brasil Bunge Tempo inteiro
About the Role

We are seeking a highly skilled Data Engineer II to join our global analytics team at Bunge. As a Data Engineer II, you will play a critical role in building high-quality data pipelines that drive analytic solutions, generating insights from our connected data to advance our data-driven decision-making capabilities.

Key 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 help our business achieve its 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 processes for analytic data engineering to improve our team's productivity.
  • 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.
Requirements
  • Bachelor's degree with years of position-related experience, or equivalent combo of education and experience level.
  • 5 years of experience working in data engineering or architecture role, 7+ preferred.
  • 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.
  • 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, 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.

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