Senior Data Engineer

Data Software Engineering

Location-specific conditions & benefits*

Colombia

We are seeking a Senior Data Engineer to join our growing team.

In this role, you will play a key part in designing and implementing scalable data solutions that support business decision-making and analytics. You will work closely with cross-functional teams to ensure the integrity, accessibility, and performance of data systems, contributing to the success of mission-critical projects.

Responsibilities

Design and develop robust data pipelines to support efficient data processing and transformation
Implement scalable data architectures to meet the needs of analytics and business intelligence teams
Collaborate with stakeholders to gather requirements and translate them into technical solutions
Optimize and maintain data workflows to ensure high performance and reliability
Work with structured and unstructured data to enable seamless integration across different systems
Monitor and troubleshoot data systems to resolve issues and ensure data accuracy
Apply security protocols to protect sensitive data and ensure compliance with regulations
Conduct code reviews to uphold coding standards and deliver high-quality solutions
Stay informed about emerging technologies and best practices to continuously improve data engineering processes

Requirements

A Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
At least 3 years of hands-on experience in data engineering with a proven track record of delivering scalable solutions
Proficiency in Python for scripting, automation, and data manipulation tasks
Experience working with Amazon Web Services (AWS) to build and manage cloud-based data solutions
Solid knowledge of Snowflake for data warehousing and advanced analytics
Advanced SQL skills for querying, transforming, and analyzing data in relational databases
Familiarity with NoSQL databases for managing semi-structured or unstructured data
Experience with CI/CD processes for automating data workflows and deployments
Strong understanding of SDLC methodologies and experience implementing them in data projects
Practical experience working in Agile environments for iterative development and delivery
Fluent English language skills (written and spoken) at a B2 level or higher

Nice to have

Experience with data visualization tools or frameworks to support reporting and analytics
Familiarity with machine learning or AI models to enhance data-driven decision-making

We offer/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