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Data Engineer II
2 meses atrás
Bunge Iberica SA is seeking a highly skilled Data Engineer II to join our team. 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 the organization achieve its goals.
- Create data products for analytics and data science 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 scalability, and operational efficiency of data and analytical solutions.
- Lead the evaluation, implementation, and deployment of emerging tools and processes 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 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.
- Bachelor's degree with years of position-related experience, or equivalent combination of education and experience level. Has in-depth knowledge in own discipline and basic knowledge (as reference) of related disciplines.
- 5 years of experience working in a 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.
