Lead Data Engineer

EPAM Systems; Colombia; Presencial; COP 156.240.000 - 234.360.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee financial programs

Paid time off

Upskilling & certification courses

LinkedIn Learning access

Descripción de la vacante

EPAM Systems in Colombia is 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 include star schema design, end-to-end pipeline delivery, ELT workflows in Databricks and dbt, testing,

Formación

• 5+ years of data engineering experience across modern and traditional stacks.
• 5+ years of data warehousing experience with strong ETL/ELT foundations.
• Strong SQL for analytics and data quality validation.
• Experience with Databricks and dbt in data pipelines and modeling.

Responsabilidades

• Lead dimensional data modeling using star schemas and fact/dimension design.
• Own end-to-end delivery of data pipelines from requirements through deployment.
• Translate stakeholder needs into data products and validate with US partners.
• Design ELT workflows in Databricks and dbt aligned to warehouse best practices.
• Define unit tests, support UAT, and document models and decisions.

Conocimientos

Data modeling

ETL/ELT design

SQL for analytics

Databricks

dbt

Stakeholder management

Leadership

Requirements gathering

Communication

Herramientas

Databricks

dbt

Tableau

Power BI

Descripción del empleo

EPAM is a leading global 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.

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 using Kimball and star schema patterns
• Strong leadership skills with high autonomy and ownership in light-touch environments
• Strong stakeholder management skills with frequent interaction with non-technical US partners
• Strong project delivery skills across requirements, build, test, UAT, and deployment
• Advanced SQL skills for analytics-grade transformations and validation
• Hands-on Databricks skills for building and operating data pipelines
• Hands-on dbt skills for modular transformations, testing, and documentation
• Strong communication skills with clear written and verbal updates and documentation habits
• Strong requirements gathering skills with ability to anticipate future business needs
• English proficiency: B2 Upper-Intermediate

Nice to have

• Apache Spark experience for large-scale data processing
• Experience with Tableau or Power BI for basic dashboarding and validation
• HR domain exposure and ability to ramp up quickly on domain concepts
• Background with legacy BI/ETL tools such as Informatica, Cognos, or Business Objects
• Experience with traditional RDBMS platforms such as Oracle

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.