Data Software Engineer

EPAM Systems; Colombia; A distancia; COP 42.000.000 - 65.000.000; Jornada completa

Descripción de la vacante

EPAM Systems Inc in Colombia seeks a Data Software Engineer to design, develop, and support technology solutions powering liquid credit investment workflows, including trade processing, reporting, and data management. You will collaborate with portfolio managers, traders, operations staff, and other engineering groups to build scalable, high-performing systems.

The role requires strong SQL skills, SSRS reporting, data modeling, and experience with stored procedures, along with solid software

Formación

• At least 2 years of professional experience in software engineering with a focus on data or backend development.
• Solid hands-on expertise with SQL, including query optimization, stored procedures, and data modeling.
• Proven ability to design and enhance reporting solutions using SSRS together with SQL-based data models.
• Strong foundation in software engineering fundamentals, including data structures, object-oriented programming, and system design.
• Excellent communication skills, with the ability to engage effectively with both technical and non-technical audiences.
• Ability to thrive in a fast-paced, team-oriented setting.
• Strong analytical, problem-solving, and communication capabilities focused on complex technical challenges.
• Attention to detail combined with the ability to manage multiple priorities in parallel.
• Solid English at B2 level or higher, in both written and spoken forms.

Responsabilidades

• Design, develop, and support reliable software solutions that power liquid credit investment workflows
• Integrate data across the various systems used in credit investing to ensure consistency and reliable information exchange
• Apply hands-on knowledge of SQL Server (2016 or newer) to build and maintain database-driven solutions
• Collaborate with cross-functional teams, including front office, operations, and product stakeholders, to align on requirements and deliverables
• Tune database performance and preserve data accuracy and integrity across all managed systems
• Take part in system architecture discussions and help define and enhance engineering best practices
• Diagnose and resolve production incidents promptly to minimize business disruption
• Deliver clean, scalable, and well-documented code that supports long-term maintainability

Conocimientos

SQL

Stored procedures

Data modeling

Query optimization

System design

Object-oriented programming

Backend development

Communication

Analytical thinking

Python

Herramientas

SQL Server

SSRS

Allvue Everest

AWS

CI/CD

DevOps

Microservices

Descripción del empleo

We are searching for a Data Software Engineer to join our Team within the wider Investment Systems organization.This role will focus on designing, developing, and supporting technology solutions that power liquid credit investment workflows, including trade processing, reporting, and data management. You will collaborate closely with portfolio managers, traders, operations staff, and other engineering groups to build scalable, high-performing systems that underpin core investment operations.ResponsibilitiesDesign, develop, and support reliable software solutions that power liquid credit investment workflowsIntegrate data across the various systems used in credit investing to ensure consistency and reliable information exchangeApply hands-on knowledge of SQL Server (2016 or newer) to build and maintain database-driven solutionsCollaborate with cross-functional teams, including front office, operations, and product stakeholders, to align on requirements and deliverablesTune database performance and preserve data accuracy and integrity across all managed systemsTake part in system architecture discussions and help define and enhance engineering best practicesDiagnose and resolve production incidents promptly to minimize business disruptionDeliver clean, scalable, and well-documented code that supports long-term maintainabilityRequirementsAt least 2 years of professional experience in software engineering with a focus on data or backend developmentSolid hands-on expertise with SQL, including query optimization, stored procedures, and data modelingProven ability to design and enhance reporting solutions using SSRS together with SQL-based data modelsAdvanced skill in building and refining complex stored procedures and queries to satisfy demanding business needsStrong foundation in software engineering fundamentals, including data structures, object-oriented programming, and system designExcellent communication skills, with the ability to engage effectively with both technical and non-technical audiencesAbility to thrive in a fast-paced, team-oriented settingStrong analytical, problem-solving, and communication capabilities focused on complex technical challengesAttention to detail combined with the ability to manage multiple priorities in parallelSolid English at B2 level or higher, in both written and spoken formsNice to havePrior experience in financial services or investment systemsWorking knowledge of Python for data processing or backend development tasksFamiliarity with Allvue's cloud-native platform (Everest), particularly the trade and order management componentsExperience with AWS, covering cloud infrastructure, services, and deployment strategiesUnderstanding of the trade lifecycle, order management systems, or portfolio management systemsHands-on exposure to modern software development practices such as CI/CD, DevOps, and microservices architecturesWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.