Data Engineer

EPAM Systems; Colombia; Presencial; COP 72.000.000 - 144.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

International projects with top brands

Work with global teams of highly skll\

Descripción de la vacante

EPAM Systems in Colombia is seeking a data engineer to architect, build and support scalable data pipelines using Python, Google BigQuery and Apache Airflow.

You will collaborate with stakeholders to translate data requirements into robust ETL/ELT processes, ensure data quality and performance, and participate in code reviews and Agile ceremonies.

The role emphasizes strong SQL skills, data governance, security, and documentation within a cross-functional, global team.

Formación

• Minimum 2 years of professional experience in data engineering.
• Strong Python development for data engineering and automation.
• Hands-on experience with Google BigQuery including data modeling and tuning.
• Practical background in designing and supporting Apache Airflow workflows.
• Solid understanding of ETL/ELT concepts and modern data architectures.
• Proficient SQL skills with large-scale datasets.
• Experience integrating data from APIs, databases, and cloud services.
• Understanding of data warehousing concepts and dimensional modeling.
• Experience with Git for version control.
• Familiarity with CI/CD and deployment automation.
• Strong analytical thinking and troubleshooting.
• Good communication and collaboration in cross-functional teams.
• Experience in Agile/Scrum environments.
• English at B2 level or higher with strong written and spoken communication.

Responsabilidades

• Architect, build, and support scalable data pipelines along with ETL/ELT processes.
• Construct and refine data solutions leveraging Google BigQuery.
• Create data processing and automation workflows with Python.
• Set up, schedule, monitor, and diagnose workflows using Apache Airflow.
• Safeguard data quality, reliability, and consistency across data sources.
• Fine-tune query performance, storage usage, and overall platform efficiency.
• Work with business and technical stakeholders to capture data requirements and turn them into scalable solutions.
• Put in place monitoring, alerting, and operational best practices for data pipelines.
• Contribute to data governance, security, and compliance initiatives.
• Add to technical documentation, knowledge sharing, and engineering best practices.
• Take part in code reviews, design discussions, and Agile ceremonies.

Conocimientos

Python

SQL

Agile/Scrum

English (B2+)

Analytical thinking

Herramientas

Google BigQuery

Apache Airflow

Docker

Git

CI/CD

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.

Responsibilities

• Architect, build, and support scalable data pipelines along with ETL/ELT processes
• Construct and refine data solutions leveraging Google BigQuery
• Create data processing and automation workflows with Python
• Set up, schedule, monitor, and diagnose workflows using Apache Airflow
• Safeguard data quality, reliability, and consistency across a variety of data sources
• Fine-tune query performance, storage usage, and overall platform efficiency
• Work with business and technical stakeholders to capture data requirements and turn them into scalable solutions
• Put in place monitoring, alerting, and operational best practices for data pipelines
• Contribute to data governance, security, and compliance initiatives
• Add to technical documentation, knowledge sharing, and engineering best practices
• Take part in code reviews, design discussions, and Agile ceremonies

Requirements

• No less than 2 years of professional relevant experience in data engineering
• Strong background in Python development for data engineering and automation activities
• Applied experience with Google BigQuery, including data modeling, performance tuning, and query optimization
• Practical background in designing and supporting Apache Airflow workflows
• Solid grasp of ETL/ELT concepts and modern data architectures
• Confident SQL skills with hands-on experience handling large-scale datasets
• Track record of integrating data from a variety of sources such as APIs, databases, and cloud services
• Understanding of data warehousing concepts and dimensional modeling
• Working experience with version control systems such as Git
• Familiarity with CI/CD practices and deployment automation
• Strong analytical thinking and troubleshooting abilities
• Good communication skills together with the ability to collaborate effectively within cross-functional teams
• Background working in Agile/Scrum environments
• English at B2 level or higher, with strong written and spoken communication skills

Nice to have

• Familiarity with data orchestration, observability, and monitoring tools
• Practical experience with containerization technologies such as Docker
• Exposure to machine learning data pipelines or MLOps concepts
• Applied use of AI-assisted development tools such as GitHub Copilot, Gemini, or similar solutions

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.