Senior Data Software Engineer — Lead Data Pipelines

EPAM Systems; Colombia; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certifications

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Award-winning culture

Descripción de la vacante

EPAM Systems is seeking a Senior Data Software Engineer to shape data architecture and delivery across complex projects. You will work with stakeholders to ensure robust, scalable data solutions and lead technical delivery.

Key responsibilities include building ETL/ELT pipelines, streaming systems, and data services using Spring Boot and NoSQL. Proficiency in Python, SQL, Spark, and Databricks is required, with strong English communication for international collaboration.

Formación

• 3+ years of relevant experience in data engineering or software
• Strong Python and SQL skills for data tasks
• Experience with Apache Spark and large-scale data processing
• Familiarity with Databricks, Kafka, and PySpark is a plus
• Excellent English proficiency (B2 or higher)

Responsabilidades

• Architect and maintain ETL/ELT pipelines and streaming systems
• Build data ingestion via ADF, Spark, and Kafka
• Improve data delivery and drive scalable infrastructure
• Design data services using Spring Boot, NoSQL, and related UI/API tools
• Provide delivery leadership and align with agile processes
• Write user stories and acceptance criteria in Scrum
• Coordinate across multiple teams and stakeholders
• Support production and deployment activities

Conocimientos

Python

SQL

Apache Spark

English (B2+)

Leadership

Delivery management

Python for data engineering

Herramientas

Databricks

Kafka

PySpark

Spring Boot

ReactJS

Descripción del empleo

EPAM Systems is seeking a Senior Data Software Engineer to shape data architecture and delivery across complex projects. You will work with stakeholders to ensure robust, scalable data solutions and lead technical delivery.

Key responsibilities include building ETL/ELT pipelines, streaming systems, and data services using Spring Boot and NoSQL. Proficiency in Python, SQL, Spark, and Databricks is required, with strong English communication for international collaboration.