Spark/Scala Developer Analyst — Big Data & ETL Specialist

UST España & Latam; España; Híbrido; EUR 50.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

23 days annual leave

Teleworking compensation

Life and Accident Insurances

Health Care Plan

Training platforms access

Referral bonuses

12 or 14 payments

WFH/remote work policy

UST Club discounts

Descripción de la vacante

UST is seeking a Developer Analyst (Spark/Scala) to join our global team. You will contribute to Market Risk processes using Spark and Scala, building ETL pipelines and data models, and ensuring data quality across multiple platforms.

Ideal candidates bring 3–5 years of Big Data experience, strong SQL, and knowledge of Hadoop and Databricks. We offer a flexible work policy, training resources, and a clear career path within a multinational environment.

Formación

• 3 to 5 years of experience in technology projects, ETL design, data modeling, and data testing/validation.
• Solid experience with Spark/Scala in Big Data environments.
• Knowledge of data workflows and data quality assurance.

Responsabilidades

• Participate in 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 processing pipelines.

Conocimientos

Apache Airflow

Apache Spark

Data Modeling

Data Validation

Databricks

Hadoop

ETL

SQL

Scala

Shell Scripting

Descripción del empleo

UST is seeking a Developer Analyst (Spark/Scala) to join our global team. You will contribute to Market Risk processes using Spark and Scala, building ETL pipelines and data models, and ensuring data quality across multiple platforms.

Ideal candidates bring 3–5 years of Big Data experience, strong SQL, and knowledge of Hadoop and Databricks. We offer a flexible work policy, training resources, and a clear career path within a multinational environment.