Ger Engenheiro de Dados
Sao Paulo, São Paulo, BR, 05423-010
Location : BAL - SEDE
City : São Paulo, Brasil
State : São Paulo (BR-SP)
Country : Brasil (BR)
Requisition Number : 40505
Bunge has an exciting opportunity available for a "Ger Engenheiro de Dados". In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. 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. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work.
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 What's Right by acting safely, ethically, and sustainably
Overview:
We are seeking a highly motivated and experienced "Ger Engenheiro de Dados" with strong expertise in data architecture, data engineering and a basic understanding of data products and data mesh. 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 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:
- Create data products for analytics and data scientist team members to improve their productivity
- 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
- Ensure timely analysis and testing for regular maintenance of solutions over time
- Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
- Establishes and implements Data strategy for supply chain.
- Design and develop scalable solutions with international scale.
- Is recognized as an external thought leader at Data Engineerinng and Architecture
Knowledge and Technical Competencies
- Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication skills.
- Can design the necessary data architecture to support the data analytics squads
- Can evaluate different cloud services to implement the most cost efficient solutions
- Deep understand of data mesh concepts
- Can help business structure the data architect solution.
- Develop business awareness of possible use cases
Minimum Requirements:
- Bachelor’s degree required; Computer Science, MIS, or Engineering preferred; Post Graduate or PhD preferred
- 6+ years of experience working in data engineering or architecture role, 10+ preferred
- 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 and Spark
- Plays a significant role in developing other juniors, act as a technical consultant to product managers, and valued as an asset to any data science projects.
- Domain expert and functional advisor for business stakeholders
- Handle most of the day-to-day communications with the product owners.
- Leads all internal meetings as well as weekly or fortnightly reports on the team’s progress.
- Divide their project into workstreams led by Senior Data Engineers and delegate tasks efficiently.
- Ensure that the project is well executed and deliverables are completed according to the timeline.
Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network 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. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.
Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data BigQuery Computer Science Computer Vision Data analysis Data Analytics Data governance Data pipelines Data strategy Data Warehousing dbt Engineering ETL Hadoop Machine Learning Mathematics NoSQL PhD Pipelines Python Scala Spark SQL Statistics Testing Unstructured data
Perks/benefits: Career development Flex hours Flex vacation
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