Capgemini

Data Engineer

São Paulo, SP, BR

13 days ago
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Summary

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)

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