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
Data Engineer
November 25
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
• Construct datasets using SQL queries, views, and stored procedures • Help develop data pipelines for data ingestion and reporting, using AWS services (such as Glue) and Python • Collaborate with team members to understand requirements and help translate them into data solutions • Build reusable data tools and participate in CI/CD pipeline development and automated testing • Implement security components and requirements through automation up-front as part of all solutions being developed • Stay current on industry best practices and latest technologies and translate them into data platform improvements • Work with other engineers, participate in code reviews, and contribute to documentation • Use GenAI solutions (such as GitHub Copilot or Microsoft Copilot) to assist with code development, troubleshooting, and learning new technologies, accelerating productivity and enhancing code quality
🎯 Requirements
• 1+ years of experience writing SQL queries (Redshift or PostgreSQL) • Some experience with Python, Java, C#, or similar programming languages • Experience with AI, such as Microsoft CoPilot and Github CoPilot • Familiarity with AWS services (Glue, Lambda) • Exposure to CI/CD pipelines and Git version control is helpful • Experience with BI tools (such as Google Looker) pref.
🏖️ Benefits
• Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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