Data Integration & BI Engineer — LATAM Modernization Lead

EPAM Systems Inc; United States; Hybride; USD 110 000 - 150 000; Plein temps

Résumé du poste

EPAM Systems Inc in the United States is seeking a Senior Data Integration & BI Engineer to support LATAM data landscape, keeping BI and ETL solutions stable while driving modernization in a hybrid environment.

You will lead in transitioning legacy processes, document knowledge transfer, and collaborate across distributed teams to deliver reliable analytics and data integration across platforms.

Qualifications

• 3+ years of experience in BI and data integration/ETL delivery.
• Hands-on experience with Azure Data Factory for data integration workflows.
• Strong leadership in transition, stabilization, and knowledge transfer.
• Experience in hybrid legacy and modern analytics environments.
• Advanced SQL skills for data transformation and troubleshooting.
• Collaboration across distributed teams.
• English proficiency at B2 level; Spanish is a plus.

Responsabilités

• Support and maintain BI and data integration solutions across LATAM.
• Ensure operational continuity for analytics and integration platforms.
• Troubleshoot and resolve incidents in ETL pipelines and BI reporting.
• Work across hybrid environments that include legacy and modern tooling.
• Reduce dependency on legacy knowledge by documenting and standardizing processes.
• Coordinate transition, stabilization, and knowledge transfer activities.
• Contribute to modernization initiatives aligned with enterprise strategy.

Connaissances

BI & Data Integration

SQL

Leadership

Hybrid environments

Project execution

Outils

Azure Data Factory

Informatica

Description du poste

EPAM Systems Inc in the United States is seeking a Senior Data Integration & BI Engineer to support LATAM data landscape, keeping BI and ETL solutions stable while driving modernization in a hybrid environment.

You will lead in transitioning legacy processes, document knowledge transfer, and collaborate across distributed teams to deliver reliable analytics and data integration across platforms.