? We are still looking for the very Top Talent…and we would be delighted if you were to join our team

More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

? What we look for?

We are looking for a Mid-Level Big Data Developer to join an international team responsible for developing, maintaining, and optimizing data processing solutions within a strategic Client Contribution platform.

You will play a key role in designing, developing, and enhancing data processing solutions, working with modern Big Data technologies and collaborating closely with both technical and business stakeholders.

Main tasks and accountabilities will be:
Design and develop ETL and data transformation processes.
Implement and maintain Spark-based data pipelines.
Support data integration initiatives across the platform.
Analyze, troubleshoot,



and resolve data-related issues.
Ensure data quality, performance, and scalability.
Collaborate with business and technical teams to analyze and improve requirements.
Contribute proactively to the continuous improvement of data solutions and development processes.
Work within Agile teams following DevOps and Continuous Integration practices.

What do we expect from you?

? Mandatory requirements:

3+ years of experience in data engineering, software development, or similar roles.

Strong SQL knowledge, including:
ANSI SQL
Hive SQL
Spark SQL
General SQL development

Solid hands-on experience with Apache Spark.

Experience with at least one of the following programming languages:
Scala
Python
Java
Experience in Big Data environments such as:
Azure Databricks
Amazon EMR
Hive
Cloudera
Any Spark-based ecosystem
Reporting experience using Qlik Sense.
Experience working in Agile environ

📌 Big Data developer (España)
🏢 UST España & Latam
📍 España