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Overview
Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases.
Requirements
- Support cloud-based data pipelines for ingestion, transformation, and storage.
- Work with AWS services to help maintain and improve data workflows.
- Help with data validation, monitoring, and troubleshooting of analytics pipelines.
- Contribute to data lake solutions used for reporting and analytics.
- Support reporting and visualization tools used by business partners.
- Follow best practices for source control, documentation, and team collaboration.
- Hands-on experience with AWS data services such as Glue, S3, Aurora, or RDS.
- 5+ years of experience working with modern data lake formats like Parquet or Apache Iceberg
- Familiarity with ETL concepts and data warehousing fundamentals
- Experience using source control tools such as Bitbucket
- Exposure to reporting or analytics tools such as SSRS or Tableau
- Comfort working in Agile or DevOps-style team environments.
Benefits & Compensation
- Medical, life and dental insurance
- Asociacion Solidarista
- International Share Save Plan
- Flex Work/Work from home
- Paid time off
- Annual Performance Bonus
- Education Reimbursement
- Family Bonding
- Bereavement Leave
- Referral Program
Originally posted on Himalayas
About the Role
Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases.
Requirements
- Support cloud-based data pipelines for ingestion, transformation, and storage. - Work with AWS services to help maintain and improve data workflows. - Help with data validation, monitoring, and troubleshooting of analytics pipelines. - Contribute to data lake solutions used for reporting and analytics. - Support reporting and visualization tools used by business partners. - Follow best practices for source control, documentation, and team collaboration. - Hands-on experience with AWS data services such as Glue, S3, Aurora, or RDS. - 5+ years of experience working with modern data lake formats like Parquet or Apache Iceberg - Familiarity with ETL concepts and data warehousing fundamentals - Experience using source control tools such as Bitbucket
