Data Engineer
Expertise in data querying and manipulation using SQL or Python in Azure Databricks or equivalent
• Experience with Databricks and SQL Management Studio
• Familiarity with end-to-end data analytics concepts (ingestion, modeling, and visualization)
• Collaborative, responsive to feedback and working in a team environment
• Business stakeholder engagement – efficient and effective communicator with ability to gather business requirements from global stakeholders and translate it to data requirements
• Collaborate with global stakeholders and workstream leads to define data requirements to enable solutions that are efficient, scalable, and aligned with process framework
• Manage seamless integration points where data threads intersect across teams, systems, and processes
• Implement the discovery, ingestion, curation, testing and documentation required for model updates and maintenance in partnership with IT, using agile methodologies
• Responsible for gathering and cleaning of datasets across multiple data sources
• Creating detailed process maps and workflows that clearly show how the organization operates in Supply chain
• Proactively communicate project progress, milestones, timelines, risks, and issues
• Recommend improvement plans to increase overall business performance
• Understanding of SAP ERP processes, data objects, and standard reporting methodologies
• Experience implementing complex IT projects; able to translate business requirements into technical IT requirements
• Strong communication skills with ability to level up / level down for strategic and tactical conversations
• Continuous improvement mindset, comfortable with constructively challenging the status quo and looking for new ways to improve processes and results
• Quick learner with knowledge of Supply Chain is a strong plus (Procurement domain)
São Paulo, AP, BR