Senior Data Scientist

Há 4 dias

São Francisco de Assis, Brasil beBeeDataEngineer Tempo inteiro

Job Title: Data Engineer II

We are seeking an experienced and motivated Data Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining data pipelines to support business decisions.

Key Responsibilities:

  • Solve complex data problems to deliver insights that help the organization achieve its goals.
  • Create data products for analytics and data scientist team members to improve their productivity.
  • Mentor and coach other data and analytical professionals on data standards and practices.
  • Foster a culture of sharing, re-use, design for scalestability, 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 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.

Requirements:

  • Conceptual understanding of data mesh.
  • Proficient in SQL and data analysis and experience with at least one programming language (Python or Scala preferred).
  • Can help business structure the data solution.
  • Develop business awareness of possible use cases.
  • PhD in STEM field with research experience in Data Science or experience Post graduate degree in STEM field with 3-5 years experience as Lead Data Engineer.
  • 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.

Benefits:

  • Strong compensation package.
  • Generous paid time off program.
  • Flexible work arrangements.
  • Opportunity to progress.
  • Hybrid work environment providing a balance of in-office and remote work.

About Us:

We are a global leader in sourcing, processing, and supplying oilseed and grain products and ingredients. We have 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.

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