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# Big Data developer (SQL, Scala, cloud)

- **Company:** UST
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Data Analysis, Big Data, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Development, DevOps, Github, Apache Hive, Python (Programming Language), Cisco Nexus Switches, Cloudera, Software Engineering, SONAR (Symantec), SQL Databases, Qliksense, Data Processing, Apache Spark, Ansi Sql, Data Management, Data Pipelines, Amazon Elastic Mapreduce (EMR), Databricks, Programming Languages
- **Published:** August 17, 2026
- **Apply:** https://www.tecnoempleo.com/big-data-developer-sql-scala-cloud-ust/python-apache-spark/rf-23441bdfa2db43cce540

## About the Role

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 environments.
Knowledge of CI/CD and DevOps methodologies.
Experience with tools such as:

 - Git
 - GitHub
 - Sonar
 - Nexus

Strong teamwork and collaboration skills.
Ability to analyze requirements and work with stakeholders to improve solutions.
English proficiency at B2 level or higher (C1 preferred).

Nice to have:

Interest in AI-assisted development tools.
Curiosity about leveraging AI-driven approaches to improve:

 - Data Engineering
 - Automation
 - Analytics processes

Passion for innovation and continuous learning.

## Description

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.


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