Sustainability digital technology senior specialist – home office

Responsabilidades

• Implementing and maintaining data products with automated pipelines for data processing, ingestion and consumption, ensuring governance and data quality capabilities aligned with regulatory mandates (e.g.: GDPR, SOX) and frameworks (e.g.: ISSB, GRI, ESRS, ISO).
• Integrating critical business process with data products to support internal and external facing requirements across our operations in 100+ countries.
• Implementing and maintaining data consumption solutions (e.g.: APIs, PowerBI Reports, Tableau Reports, Databricks AI/BI dashboards, custom applications, etc.).
• Leading other Data Engineers and contractors in the use of best-in-class development frameworks and tools, including AI-driven automation.
• Evaluating source data across multiple upstream systems, understanding the purpose of each system and documenting data requirements for downstream use.
• Developing semantic and knowledge layers to the data products you own with technical and functional documentation for data consumption, auditability, maintenance and operations.

Requisitos

• QUALIFICAÇÕES MÍNIMAS
  • Have a bachelor’s degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math). A minimum of 10 years of professional experience.
  • Have a minimum of 6 years of experience with Data Engineering projects (e.g.: development of dashboards, data modelling, data processing, etc.).
  • Have a strong technical background and a proven track record for learning the best-in-class technology and development patterns.
• QUALIFICAÇÕES PREFERENCIAIS
  • Be able to deliver results when working on short-term (weeks-months), outcome-focused engagements.
  • Be able to leverage external references on best-in-class technology and processes and translate that for application within our company processes and culture.
  • Be able to articulate the value proposition of technology capabilities and map them to customer requirements to minimize incremental cost of development.
  • Be able to foster teamwork and apply your skills to understand visions, achieve goals, solve problems, and manage conflicts.
  • Be able to communicate with stakeholders on issues, identify potential problems, and proactively initiate resolutions. Be comfortable in asking for help and providing help.
  • Be able to produce information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling experience.
  • Have extensive experience in Data Engineering (SQL, Data Modelling, ELT).
  • Have extensive experience in Distributed Data Processing (e.g.: Spark, MPP databases).
  • Have extensive experience in modern Data platforms (e.g.: Databricks).
  • Have experience with ‘User Experience’ processes (ex: Design Thinking, Prototyping, Wireframing, User Journeys, etc.).
  • Have experience in an agile environment. Be aware of and able to apply continuous integration and continues deployment practices (CICD).
  • Have experience with AI coding and development.

Marcado como: Análise de Dados, BigData, ESG, Inteligencia Artificial, Sustentabilidade