Senior Data Software Engineer

Data Software Engineering

Location-specific conditions & benefits*

Colombia

We are seeking a skilled and motivated Senior Data Software Engineer to be an integral part of our data team. You will work closely with the Head of Data/AI and other team members to modernize legacy assets, build scalable new data solutions, and enable the organization to effectively utilize its data infrastructure for advanced analytics and AI initiatives.

Responsibilities

Contribute to mentoring junior team members, promoting best practices and fostering knowledge sharing
Support the cleaning, transformation, and optimization of legacy data assets to improve data accuracy and usability
Collaborate with stakeholders to understand their data needs and assist in building effective workflows
Develop and maintain data pipelines, ensuring efficient ETL/ELT processes that meet business requirements
Work with cloud platforms, particularly Google Cloud Platform, and leverage tools like BigQuery, Dataform, and Dataplex
Engage in hands-on coding and data engineering tasks, contributing to pipeline development and optimization
Support and enhance large-scale datasets in a cloud environment, focusing on reliability and efficiency
Write and optimize advanced SQL queries for analytics, reporting, and insights
Use Python for data engineering and automation tasks, prioritizing robust programming practices
Work with cross-functional teams, including data scientists and business leaders, to execute data initiatives
Ensure proper documentation of processes and maintain a focus on scalability and maintainability
Identify and troubleshoot data pipeline performance issues, helping to implement targeted improvements

Requirements

3+ years of software development experience
Proven experience with Google Cloud Platform, especially with tools like BigQuery, Dataform, or equivalent tools in AWS/Azure
Strong proficiency in SQL and data transformation techniques
Solid programming skills in Python or similar languages for data tasks
Experience working with large-scale datasets in cloud environments, as well as building scalable ETL/ELT pipelines
Strong written and verbal communication skills in English (B2 level), fostering collaboration in distributed teams

Nice to have

Understanding of distributed data systems and tools such as Dataplex or equivalent platforms
Experience with projects modernizing legacy data systems or building scalable data solutions

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