Lead Data Software Engineer

Data Software Engineering

Location-specific conditions & benefits*

Colombia

We are seeking an experienced and hands-on Lead Data Software Engineer to guide a team of talented data engineers and help shape the foundation of our data ecosystem. You will collaborate closely with the Head of Data/AI to modernize legacy assets, build scalable new data solutions, and enable the organization to leverage its data infrastructure effectively for advanced analytics and AI initiatives.

Responsibilities

Lead and mentor a small team of data engineers, ensuring best practices and high-quality deliverables
Oversee the cleaning, transformation, and optimization of legacy data assets to ensure data accuracy and usability
Collaborate with stakeholders to understand their data needs and translate those requirements into scalable, efficient workflows
Design and architect data pipelines, ensuring seamless ETL/ELT processes that meet performance needs
Work extensively with cloud platforms, particularly Google Cloud Platform, leveraging tools like BigQuery, Vertex AI, Dataform, and Dataplex
Execute hands-on coding and data engineering work, contributing to pipeline development and tuning processes
Build and maintain large-scale datasets in a cloud environment, ensuring reliability and optimization
Develop advanced SQL queries for data manipulation, reporting, and insights
Incorporate robust programming practices using Python to automate processes and drive efficiencies
Coordinate with cross-functional teams, including data scientists and business leaders, to align on strategic data initiatives
Ensure documentation and thorough testing of all processes and deliverables to ensure scalability and maintainability
Investigate and troubleshoot data pipeline performance issues, implementing improvements as needed

Requirements

5+ years of software development experience
1+ years in a leadership or mentoring capacity
Proven expertise working with the Google Cloud Platform, including BigQuery, Vertex AI, Dataform, or comparable tools in AWS/Azure
Advanced proficiency in SQL and data transformation techniques
Strong programming skills in Python or other languages for data engineering tasks
Background in working with large-scale datasets in cloud environments, coupled with experience in building scalable and efficient ETL/ELT pipelines
Excellent written and verbal communication skills in English (B2+ level), enabling effective collaboration within and between teams in a distributed environment

Nice to have

Familiarity with distributed data systems and tools such as Dataplex or similar platforms across cloud providers
Showcase of previous successful projects in modernizing legacy data systems or building data foundations from scratch
Knowledge of machine learning tools and workflows, particularly in integrating data for AI applications

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