Remote Spark/Scala Developer - Big Data & ETL

Ust España & Latam

el Lloar

A distancia

EUR 42.000 - 68.000

Jornada completa

Hace 11 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Annual leave 23 days
Health care plan
Teleworking compensation
Training platforms
Career development
Remote work policy
Referral bonuses

Descripción de la vacante

UST is a multinational company specializing in digital technology services with a focus on Market Risk data environments. The Developer Analyst role centers on Spark/Scala development, ETL design, data modeling, validation, and optimization within Big Data teams.

The candidate will contribute to automation of Market Risk processes, write advanced SQL, and collaborate across cross-functional data projects in a fully remote capacity.

Formación

  • 3 to 5 years of experience in technology projects, ETL design, data modeling, and data testing/validation.
  • Strong technical knowledge of Scala, Hadoop, and SQL.
  • Basic knowledge of Shell scripting.

Responsabilidades

  • Participate in the definition, development, and automation of Market Risk processes using Spark and Scala.
  • Design, develop, and maintain ETL processes and data models.
  • Perform data testing, validation, and quality assurance activities.
  • Develop and optimize solutions on Big Data platforms, including Spark and Hadoop.
  • Write and optimize advanced SQL queries for data processing and analysis.
  • Collaborate with cross-functional teams on Big Data initiatives and best practices.
  • Support the implementation and enhancement of data workflows and pipelines.

Conocimientos

Spark/Scala
ETL design
Data modeling
Data validation
SQL
Shell scripting
Apache Airflow
Azure Databricks
Big Data

Herramientas

Hadoop

Descripción del empleo

UST is a multinational company specializing in digital technology services with a focus on Market Risk data environments. The Developer Analyst role centers on Spark/Scala development, ETL design, data modeling, validation, and optimization within Big Data teams.

The candidate will contribute to automation of Market Risk processes, write advanced SQL, and collaborate across cross-functional data projects in a fully remote capacity.

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