Engenheiro de Dados II

Location :BAL - SEDE

City :So Paulo Brasil

State :So Paulo (BR-SP)

Country :Brasil (BR)

Requisition Number :40506

Bunge has an exciting opportunity available for a Senior Data 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 dont 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 Whats Right by acting safely ethically and sustainably

Overview:

We are seeking a highly motivated and experienced Senior Data Engineer with strong expertise in data architecturedata 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 partof 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 ofleveraging data analytics and technology to feed and fuel the world in a better faster and simpler way. 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 organizationsconnected data enabling the organization to advance the data-driven decision-making capabilities of the organizations enterprise.

Essential Functions:

• Solve complex data problems to deliver insights that helps the organizations business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Mentor and coach other data andanalytic professionals on data standards andpractices
• Foster a culture of sharing re-use design for scalestability and operational efficiency of data andanalyticalsolutions
• Lead the evaluation implementation and deployment ofemerging tools and process for analytic dataengineeringin order toimprove the organizationsproductivity as ateam
• Develop and deliver communication and educationplans on analytic data engineering capabilitiesstandards andprocesses.
• Partner with business analysts and solutions architectsto develop technical architectures for strategicenterprise projects andinitiatives.
• Learn about machine learning data science computervision artificial intelligence statistics and/or appliedmathematics
• Ensure timely analysis and testing for regular maintenance of solutions over time
• 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 solutions.
• Manages operational plans large projects and/or processes with limited oversight from manager. Leads and/or participates with comparable influence in large projects/initiatives; AND/OR provides leadership to professionals and support. Contributes to short to mid term (1-3 years) talent optimization plans to execute strategies in job area.
• Leads technical discussion across other data Engineer to ensure best practices approaches and implementation.

Knowledge and Technical

• 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

Minimum Requirements:

• 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 datasolutions
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
• Database development experience using Hadoop orBigQueryand experience with a variety of relational NoSQL and clouddatabasetechnologies
• Conceptual knowledge of data and analytics such as dimensional modeling ETL reporting tools data governance datawarehousing structured and unstructureddata.
• 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 appliedmathematics
• 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