Data Engineer

Remote in Chile,

Data Software Engineering

Location-specific conditions & benefits*

Chile

We are seeking a highly skilled and motivated Data Engineer to join our team.

The ideal candidate will be responsible for maintaining existing data systems, enhancing our current Data Platform, and implementing future changes as our clients' consumption needs and ingestion evolve. This role requires expertise in handling complex datasets and collaborating with senior team members on high-impact projects.

Responsibilities

Maintain and enhance existing data systems
Develop enhancements for the existing Data Platform
Implement future changes to accommodate growing consumption needs and ingestion
Work with complex datasets, including the addition of new datasets from scratch
Collaborate with senior team members on complex projects, particularly when adding new large datasets
Grow with the technological landscape, adapting to new tools and methodologies as they emerge

Requirements

2+ experience in Data Software Engineering
Proficiency in PySpark
Experience with Azure Databricks, Azure DevOps, and Azure Event Hubs
Knowledge of the Azure cloud stack
Experience in working with large and complex datasets
Ability to work in a team and collaborate with various stakeholders
Familiarity with Databricks Unity Catalog and Terraform

Nice to have

Experience in Azure Analytics Engineering
Familiarity with DevOps practices

Benefits

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