Data Software Engineering & 6 others
EPAM Systems
Software Engineering
Portugal · Remote
Posted on Nov 19, 2025
Responsibilities
- Collaborate with Data Science teams to construct datamarts and fulfill ad-hoc requests as necessary
- Develop and manage data pipelines, ETL processes, and REST APIs to facilitate efficient data processing and delivery
- Verify the scalability, efficiency, and reliability of our data solutions
- Provide on-call support to uphold the smooth operation of our data solutions
- Work alongside cross-functional teams to deliver top-notch data solutions in accordance with project objectives and timelines
- Regularly assess industry trends and optimal practices, refining and implementing cutting-edge data engineering strategies
- Offer guidance and mentorship to junior team members, nurturing a culture of continuous learning and growth within the team
- Engage directly with clients, comprehending their requirements, and deliver well-suited, efficient solutions
- Collaborate with stakeholders, showcasing outstanding communication and leadership skills
Requirements
- A minimum of 3 years of hands-on experience in Data Software Engineering, contributing to large-scale data projects and intricate data infrastructures
- Demonstrated expertise in constructing and sustaining data pipelines, ETL processes, and REST APIs
- Proficiency in Amazon Web Services, specifically focusing on data-related services like Redshift, S3, and Glue
- Substantial familiarity with Apache Airflow and Apache Spark, utilizing them for data processing and pipeline automation
- Adeptness in Python and SQL for the purpose of data processing
- Experience with Databricks and PySpark for efficient pipeline automation
- Familiarity with CI/CD tools to ensure the streamlined delivery of data solutions
- Robust analytical skills, enabling effective troubleshooting and decision-making in intricate data environments
- Ability to convey technical concepts clearly to a non-technical audience
- Advanced English language proficiency (Upper-Intermediate level), enabling effective written and verbal collaboration in team meetings and discussions with stakeholders
Nice to have
- Experience with Redshift for data warehousing and management
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