DATA ENGINEER

The selected candidate, working within project teams involved in all phases of the software development lifecycle , will be responsible for:

Deployment in testing and production environments

Development and optimization of data processing pipelines in distributed Big Data environments

Design and implementation of ETL workflows and large-scale data processing systems

Test-driven and domain-driven development applied to data engineering contexts

Test automation of data integration and transformation workflows

Supporting the Project Manager with project estimations

Planning of implementation activities

Requirements

• Have at least 3–4 years of experience developing Big Data solutions in enterprise environments
• Have worked with Apache Spark using Java for designing and developing batch and streaming data processing jobs
• Have experience designing and implementing complex ETL workflows and distributed data processing pipelines
• Have worked in Cloudera environments (CDH or CDP) and are familiar with the main services of the Hadoop ecosystem (HDFS, YARN, Hive, Impala, Kafka)
• Are able to write SQL queries to create, modify, and manage data in relational and distributed databases (e.g., Hive, Impala)
• Have professional experience with technologies such as Java 8+, Apache Spark, Spark SQL, and Apache Kafka
• Working proficiency in English is required

NICE TO HAVE

• Experience with Palantir Foundry , including building pipelines and ontologies on the platform
• Experience in software development projects within the Banking / Finance sector

Location: The position is open across all our offices , with preference for Molfetta, Lecce, or Palermo .

What We Offer

Contract type, salary (RAL) , and job level will be evaluated during the selection process , based on the candidate’s experience.