Data Engineer

Remote in Chile,

Data Software Engineering

Location-specific conditions & benefits*

Chile

We are looking for a talented and driven Data Engineer to join our team.

In this role, you will play a key part in maintaining and improving our data systems while ensuring they align with evolving business needs. You will work with complex datasets and collaborate on impactful projects to enhance our Data Platform, adapting to technological advancements along the way.

Responsibilities

Support and improve existing data infrastructure
Build and implement updates to the current Data Platform
Adapt systems to meet increasing data consumption and ingestion demands
Handle complex datasets, including creating new datasets from the ground up
Work closely with senior team members on key projects, particularly those involving large datasets
Stay current with emerging tools and technologies to ensure continuous improvement

Requirements

At least 2 years of experience in Data Software Engineering
Strong expertise in PySpark
Hands-on experience with Azure Databricks, Azure DevOps, and Azure Event Hubs
Solid understanding of the Azure cloud ecosystem
Proven ability to work with large and complex datasets
Strong teamwork and collaboration skills to engage with various stakeholders
Familiarity with Databricks Unity Catalog and Terraform

Nice to have

Background in Azure Analytics Engineering
Understanding of DevOps principles and 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