Data Engineer - Build Scalable Data Pipelines & Lakehouse

Sonatype

Bogotá

Presencial

COP 120.000.000 - 180.000.000

Jornada completa

Hace 9 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Parental leave
Diversity and inclusion groups
Flexible working practices

Descripción de la vacante

Sonatype is seeking a data engineer to build and optimize data pipelines, models, and analytics tools. You will work with Spark, AWS services, and distributed systems to ensure reliable, clean datasets and scalable data infrastructure.

The role emphasizes collaboration, documentation, and contributing to CI/CD processes while shaping the data lakehouse platform and roadmap at a cloud-first company.

Formación

  • Bachelor's degree or equivalent practical experience in CS/Engineering or related field.

Responsabilidades

  • Build and maintain reliable data pipelines and ETL/ELT workflows.
  • Develop and optimize data models for analytics and internal tools.
  • Collaborate with team members to deliver clean, trusted datasets.
  • Support core data platform tools like Spark and AWS services (S3, SNS, SQS, ECS/Fargate, EMR).
  • Monitor data pipelines for quality, performance, and reliability.
  • Write clear documentation and contribute to test coverage and CI/CD processes.
  • Help shape our data lakehouse architecture and platform roadmap.

Conocimientos

Java
Scala
Backend development
Python
PySpark
SQL
Distributed data systems
English communication
Self-driven
Debugging
Code reviews
AI-assisted tools
Internet reliability

Educación

Bachelor's degree in Computer Science/Engineering or related

Herramientas

Spark
S3/SNS/SQS
ECS/Fargate
EMR
Kafka
Cassandra
HBase

Descripción del empleo

Sonatype is seeking a data engineer to build and optimize data pipelines, models, and analytics tools. You will work with Spark, AWS services, and distributed systems to ensure reliable, clean datasets and scalable data infrastructure.

The role emphasizes collaboration, documentation, and contributing to CI/CD processes while shaping the data lakehouse platform and roadmap at a cloud-first company.

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