Senior Data Engineer: Spark + Scala (Remote)

Apex Systems

Región Centro

Presencial

MXN 1.083.000 - 1.204.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Remote work
Comprehensive benefits
Awards recognition

Descripción de la vacante

Everforth Apex Systems Mexico is seeking a Senior Data Engineer to design, build, and operate scalable batch and streaming pipelines using Scala/Java and Apache Spark. You will contribute to an enterprise data platform, engage with data teams, and leverage AI-assisted tools to accelerate development.

Ideal candidates have 5+ years in data engineering, experience with Hive/Iceberg, Airflow, and strong collaboration skills across product and data stakeholders in a dynamic environment.

Formación

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent experience.
  • 5+ years of experience in Data Engineering or related roles.
  • Strong experience with Scala or Java development.
  • Strong hands-on experience with Apache Spark.

Responsabilidades

  • Design, build, and maintain scalable batch and streaming data pipelines.
  • Collaborate with Product Managers, data engineers, and stakeholders to gather requirements.
  • Provide production support and resolve data pipeline issues.

Conocimientos

Scala
Java
Apache Spark
Batch processing
Streaming data
AI-assisted development
Prompt engineering
Jira

Educación

Bachelor's degree in Computer Science or related

Herramientas

Hive
Apache Iceberg
Airflow
Claude AI
GitHub Copilot
Cursor
Cassandra

Descripción del empleo

Everforth Apex Systems Mexico is seeking a Senior Data Engineer to design, build, and operate scalable batch and streaming pipelines using Scala/Java and Apache Spark. You will contribute to an enterprise data platform, engage with data teams, and leverage AI-assisted tools to accelerate development.

Ideal candidates have 5+ years in data engineering, experience with Hive/Iceberg, Airflow, and strong collaboration skills across product and data stakeholders in a dynamic environment.

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