Data Software Engineer

About the Position

We are looking for a highly skilled and experienced Data Software Engineer to join our team and assist in creating data-centric applications.

You will leverage advanced Big Data tools, cloud technologies, and collaborate with various teams to deliver innovative solutions for complex business challenges.

Responsibilities

• Build and improve data software applications used by Data Integration Engineers
• Develop and release advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools
• Implement cloud-based capabilities on AWS to streamline and optimize data workflows
• Collaborate with product and engineering teams to gather input and support data-informed decisions
• Align with architects, technical leads, and partner teams to deliver consistent end-to-end solutions
• Evaluate business requirements and technical landscapes to propose appropriate technical implementations
• Perform code reviews to reinforce best practices and maintain high code quality
• Test and validate solutions against functional, technical, and performance expectations
• Document deliverables thoroughly to support future maintenance and enhancements
• Engage with clients to capture requirements and provide expert technical guidance

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
• Relevant experience in Data Software Engineering with 2+ years working with Big Data technologies
• Solid understanding of data engineering fundamentals such as data management, storage, visualization, operations, and security
• Deep knowledge of data ingestion pipelines, Data Warehousing, and Data Lakes
• Hands-on programming skills in Python, Java, Scala, or Kotlin
• Proven ability with SQL and NoSQL databases
• Practical expertise in Big Data tooling, especially Spark and PySpark
• Experience designing and deploying solutions on AWS, including Glue and RedShift
• Working knowledge of CI/CD pipelines and deployment workflows
• Familiarity with containerization and tools such as Docker, Kubernetes, and Yarn
• Experience using Databricks for advanced data analytics and engineering
• English proficiency at B2 (Upper-Intermediate) level or higher, written and spoken

Nice to Have

• Exposure to additional Big Data tools such as Hadoop, Hive, and Flink
• Knowledge of SDLC methodologies with an emphasis on Agile practices
• Ability to implement and manage SDLC processes effectively

We Offer

• Opportunity to work remotely from Colombia
• Engaging in innovative projects with cutting-edge technologies

About the Company

EPAM Systems is a global software engineering and product development company, delivering digital transformation and technology innovation across various industries.