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)