About G2 - The Company

G2 is the world's largest and most trusted software marketplace. When you join G2, you’re joining the industry’s leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.

Now, we have joined…

Company Description

Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse)…

• Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse)…