Remote Spark/Scala Developer Analyst - Big Data & ETL

UST España & Latam; España; On-site; PHP 5,643,000 - 7,524,000; Full time

Benefits offered by this job

Health care plan

Teleworking compensation

Life and accident insurances

Training platforms access

Career plans

Job summary

UST España & Latam in a global, top-employer setting is seeking a Developer Analyst (Spark/Scala) to join our Big Data team. You will contribute to Market Risk processes, design and automate ETL, and work on data models and validation using Spark, Scala, and Hadoop.

You will collaborate with cross-functional teams, optimize SQL queries, and help implement data workflows. The role emphasizes hands-on development, quality assurance, and continuous learning within a flexible, multi-country

Qualifications

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

Responsibilities

• 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 shared Big Data initiatives and best practices.
• Support the implementation and enhancement of data workflows and processing pipelines.

Skills

Spark

Scala

ETL design

Data modeling

Data validation

SQL

Shell scripting

Big data

Tools

Azure Databricks

Airflow

Databricks

Hadoop

Job description

UST España & Latam in a global, top-employer setting is seeking a Developer Analyst (Spark/Scala) to join our Big Data team. You will contribute to Market Risk processes, design and automate ETL, and work on data models and validation using Spark, Scala, and Hadoop.

You will collaborate with cross-functional teams, optimize SQL queries, and help implement data workflows. The role emphasizes hands-on development, quality assurance, and continuous learning within a flexible, multi-country