Experian
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
10001 employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Mid-level Data Engineer – Affirmative Action for People with Disabilities
October 30
🗣️🇧🇷🇵🇹 Portuguese Required
Experian
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
10001 employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
📋 Description
• Develop and maintain data pipelines using tools such as Azure Data Factory and Azure Databricks; • Model, transform, and integrate data from various sources (structured and unstructured); • Create and maintain optimized data structures for analytical consumption in tools like Power BI and Tableau; • Automate data ingestion and processing workflows with a focus on scalability and performance; • Support the definition of data architecture and data governance best practices; • Collaborate with the analytics team to ensure reliable and accessible data for advanced analyses and insight generation.
🎯 Requirements
• Bachelor's degree in a technology-, engineering-, or data-related field; • Experience with SQL and Python; • Experience with Azure Data Factory or Azure Databricks; • Knowledge of visualization tools such as Power BI and Tableau; • Familiarity with ETL concepts, data modeling, data lakes, and data warehouses; • English for technical reading and writing; • Consultative mindset with initiative and proactivity to drive improvements and solve problems collaboratively.
🏖️ Benefits
• Relaxed and innovative work environment • Collaborative and diverse team • Opportunity to work on projects with global impact • Benefits typical of a large corporation
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