EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead Data Engineer to own end-to-end data modeling and pipeline delivery as part of a multi-phase enterprise data lake re-architecture. You will partner closely with US-based stakeholders and a distributed engineering team to turn business needs into reliable, well-modeled data products—apply to help drive the next phase to completion.

Responsibilities

Lead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structures




Own end-to-end delivery of data pipelines from requirements through deployment
Gather business requirements directly from stakeholders and translate them into data products
Design and build ELT workflows in Databricks and dbt aligned to warehouse best practices
Define and execute unit tests and support UAT to ensure data quality and usability
Document models, pipelines, and decisions clearly to enable shared understanding
Coordinate with a distributed engineering team to plan work, unblock delivery, and align outputs
Partner with stakeholders to validate assumptions, manage expectations, and communicate progress
Troubleshoot data issues and optimize transformations for reliability and maintainability

Requirements

5+ years of data engineering experience across modern and traditional stacks
5+ years of data warehousing experience with strong ETL/ELT foundations
5+ years of dimensional data modeling experience usin

📌 Lead Data Engineer (México)
🏢 Epam Systems
📍 México