Engenheiro de dados II
Bunge
- São Paulo - SP
- Permanente
- Período integral
- Act as One Team by fostering inclusion, collaboration, and respect
- Drive for Excellence by being agile, innovative and efficient
- Do What's Right by acting safely, ethically, and sustainably
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. This role requires deep understanding of 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.Essential Functions:
- 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 organization's 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 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
- Accountable for the results of a large and/or moderately complex project(s). Provides input on resource planning and policy development.
- Applies acquired expertise to analyze and solve problems without clear precedent. Identifies applications of functional knowledge and existing methodologies to solve complex problems; Anticipates internal and/or external business challenges and/or regulatory issues; recommends process, product or service improvements. Takes a new perspective on existing solution
- Bachelor's degree with 6 - 10 years of position related experience, or equivalent combo of education and experience level. Has in-depth knowledge in own discipline and basic knowledge (know as reference) of related disciplines.
- 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