Lead Data Software Engineer

EPAM Systems; Colombia; On-site; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Healthcare benefits

Upskilling and certification courses

Global career opportunities

Volunteer and community involvement

LinkedIn Learning access

Job summary

EPAM Systems is seeking a Lead Data Software Engineer to build scalable data platforms powering analytics and reporting across the organization. You will guide data pipeline and warehouse development, partnering with cross-functional stakeholders to raise engineering standards.

Responsibilities include designing end-to-end data pipelines, implementing scalable data management systems, and automating workflows with Python while ensuring data integrity and security for production use cases.

Qualifications

• 5+ years of data engineering experience delivering production data pipelines.
• Leadership experience guiding technical decisions and mentoring engineers.
• Project delivery experience with cross-functional data initiatives.
• Advanced SQL skills with complex queries and performance tuning.
• Strong database knowledge and Python for data processing.
• Upper-Intermediate English (B2) proficiency.

Responsibilities

• Design scalable data management systems and end-to-end data pipelines.
• Build and optimize datasets, storage, and retrieval patterns.
• Develop complex SQL procedures and scripts for transformation and access.
• Ensure data integrity, security, and availability in production.
• Coordinate with data architects and IT partners to align on goals.
• Drive data warehouse strategy focused on scalability and performance.
• Automate data processing and integration workflows with Python.
• Validate data for BI and reporting use cases.

Skills

Advanced SQL

Python

Leadership

Cross-functional collaboration

Data modeling

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field

Tools

Google Cloud Platform

ETL tools

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead Data Software Engineer to build and evolve scalable, secure data platforms that power analytics and reporting across the organization. You will guide data pipeline and warehouse development, partner with cross-functional stakeholders, and raise engineering standards.

Responsibilities

• Design scalable data management systems and end-to-end data pipelines
• Build and optimize datasets, storage, and retrieval patterns for performance and cost
• Develop complex SQL procedures and scripts for transformation, aggregation, and access
• Ensure data integrity, security, and availability in line with industry practices
• Implement monitoring and controls to maintain high data quality in production
• Coordinate with data architects, modelers, and IT partners to align on goals and delivery
• Drive data warehouse strategy focused on scalability, reliability, and performance
• Automate data processing and integration workflows with Python
• Validate and analyze data to confirm requirements for BI and reporting use cases
• Evaluate and integrate new data engineering tools and methodologies to improve the platform

Requirements

• 5+ years of data engineering experience delivering production data pipelines
• Leadership experience guiding technical decisions and mentoring engineers
• Project delivery experience collaborating with cross-functional stakeholders on data initiatives
• Advanced SQL skills including complex queries, stored procedures, and performance tuning
• Strong database knowledge of data modeling, RDBMS concepts, and database design
• Proficient Python skills for data processing, automation, and integration
• Upper-Intermediate English (B2) proficiency for day-to-day collaboration

Nice to have

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
• Experience with data pipeline and workflow management tools
• Hands-on experience with Google Cloud Platform data services beyond core warehousing

We offer

• 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.