Data Software Engineer

EPAM Systems; Colombia; Presencial; COP 60.000.000 - 120.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Descripción de la vacante

EPAM Systems in Colombia is seeking a Data Software Engineer to build data-centric applications using Spark, PySpark, and AWS. You will work with multinational teams to deliver innovative data solutions addressing complex business needs.

The role requires 2+ years in data software engineering, strong data engineering fundamentals, and proficiency in Python/Java/Scala, SQL/NoSQL, and AWS (Glue/Redshift). English communication at B2 level is essential.

Formación

• 2+ years in Data Software Engineering with Big Data tech.
• Strong foundation in data engineering topics: data management, storage, visualization, operations, security.
• In-depth knowledge of ingestion pipelines, data warehousing, and data lakes.
• Proficiency in Python, Java, Scala, or Kotlin; SQL/NoSQL skills.
• Experience with AWS services (Glue, Redshift) and CI/CD workflows.

Responsabilidades

• Build and extend data software applications used by Data Integration Engineers.
• Deliver analytical solutions using Spark, PySpark, NoSQL and Big Data tech.
• Optimize data workflows with AWS services and features.
• Collaborate with product and engineering stakeholders to gather insights.
• Coordinate with architects and leads to keep solutions aligned.
• Analyze business needs and current tech to implement suitable solutions.
• Review code to ensure high quality and best practices.
• Verify solutions through testing and performance checks.
• Create documentation for future development and reference.
• Consult with clients to understand objectives and provide recommendations.

Conocimientos

Big Data

Spark PySpark

Python/Java/Scala/Kotlin

AWS

CI/CD

Docker/Kubernetes

SQL/NoSQL

Databricks

English (B2)

Educación

Bachelor’s or Master’s in CS/SE or related

Herramientas

Databricks

Glue

Redshift

Spark

Yarn

Descripción del empleo

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 highly skilled and experienced Data Software Engineer to join our team and contribute to building data-centric applications.

You will utilize advanced Big Data tools, cloud technologies, and collaborate across teams to develop innovative solutions addressing complex business needs.

Responsibilities

• Construct and extend data software applications leveraged by Data Integration Engineers
• Deliver analytical solutions with Spark, PySpark, NoSQL, and other Big Data technologies
• Optimize data workflows by integrating AWS cloud services and features
• Work with product and engineering stakeholders to collect insights and enable decision-making
• Coordinate with architects, technical leads, and other teams to keep solutions aligned
• Analyze business needs and existing technical environments to produce suitable implementations
• Review code to uphold best practices and ensure consistently high-quality output
• Verify solutions through functional, technical, and performance testing
• Create clear project documentation for future development and reference
• Consult with clients to understand objectives and provide technical recommendations

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a comparable field
• 2+ years of experience in Data Software Engineering using Big Data technologies
• Strong foundation in data engineering topics including data management, storage, visualization, operations, and security
• Thorough understanding of ingestion pipelines, Data Warehousing, and Data Lakes
• Proficiency in at least one of Python, Java, Scala, or Kotlin
• Demonstrated expertise with SQL plus NoSQL databases
• Hands‑on skills with Spark and PySpark within modern Big Data ecosystems
• Background delivering solutions on AWS, including Glue and RedShift
• Understanding of CI/CD workflows for integration and deployment
• Working familiarity with Docker, Kubernetes, and Yarn in containerized environments
• Capability with Databricks for advanced analytics and engineering tasks
• Strong communication skills in English, meeting at least a B2 proficiency level

Nice to have

• Experience with Hadoop, Hive, and Flink or other Big Data tools
• Familiarity with SDLC methodologies, particularly Agile
• Skills in executing and overseeing SDLC implementation end to end

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.