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Big Data Platform Engineer – Hadoop/Cloudera, Spark, Kafka
Engineer and operate large-scale Hadoop/Cloudera clusters, maintaining HDFS, YARN, Spark and Kafka for enterprise data platforms.
AI Engineer - Data Scientist
Develops AI models and data pipelines using Python, Spark, and cloud platforms for clients in an outsource setting.
Hadoop Data Platform Engineer | Flexible & Growth‑Oriented
Engineer and maintain enterprise Hadoop platforms (Cloudera) for banking and insurance clients, handling operations, automation, and security.
Big Data Infrastructure Engineer
Maintain and evolve large-scale Hadoop clusters (Cloudera) for enterprise clients, automate operations with Ansible, and support Spark/Hive/Kafka pipelines in banking/insurance projects.
Data Analytics Engineer | Milano
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Data Analytics Engineer | Milano
Designs and builds modern data pipelines and distributed architectures using Hadoop, Spark, and Microsoft Fabric/Databricks to integrate and model data for analytics and business decisions.
Data Engineer Full Remote - Appartenente alle categorie protette (L.68/99)
Data Engineer builds and optimizes distributed data pipelines and applications using Java, Spark, Hadoop, and cloud tools in a full-remote role.
Senior Databricks Data Engineer – Cloud-Native ETL
Designs and builds cloud-native ETL pipelines on Databricks and Azure using Spark and Hadoop to ensure high-quality, high-performance data flows.
Data Engineer (L.68/99 - Categorie Protette)
Build and optimize ETL pipelines and data processing workflows using Python, Spark, and SQL databases for clients across industries.
Big Data Engineer — Java + Spark ETL Specialist
Builds and maintains Java-based ETL pipelines using Apache Spark and Hadoop to process large enterprise datasets.
Big Data Engineer | Cloud, Spark, Kafka & NoSQL
Designs and implements Big Data pipelines using cloud platforms, Spark, Kafka, and NoSQL databases to process and analyze large datasets.
Remote Data Engineer - Spark, Hadoop & Growth Path
Designs, builds, and optimizes distributed data pipelines using Hadoop, Spark, Java, and Docker for high-throughput data projects.
Remote Data Engineer - Spark, Hadoop & Growth Path
Designs, builds, and optimizes distributed data pipelines using Hadoop, Spark, Java, and Docker for high-throughput data projects.
Senior Data Engineer III - Remote, Mentorship & Impact
Designs and builds scalable data pipelines and systems, mentors junior engineers, and works with Hadoop, Spark, and Docker in a hybrid/remote role.
Junior Data Engineer - Cloud & DataOps (Banking)
Designs and builds batch and near-real-time data pipelines on-prem and in the cloud for a large bank, focusing on data quality and governance within a DataOps framework.
Senior Big Data Engineer — Remote, Growth & Impact
Designs and builds scalable big-data systems using Hadoop, Spark, Java/Scala, and cloud-native tech, while mentoring engineers and optimizing performance.
Senior Databricks Data Engineer
Designs and builds scalable data pipelines on Databricks (PySpark/Scala) and Delta Lake, optimizing cloud-native architectures on Azure for batch and streaming workloads.
Senior Data Engineer IV (Remote)
Senior Data Engineer builds and optimizes scalable data pipelines and systems using Hadoop, Spark, Java, and Scala, while mentoring peers and leading technical designs for data-intensive applications.
Data Engineer II (Onsite – Rome)
Builds and optimizes data-intensive applications using distributed computing tech like Hadoop and Spark, primarily in Java, while collaborating on scalable data architectures.
Big Data Engineer - Technical Leader
Leads Big Data projects for a finance client, designing scalable pipelines and architectures using Cloudera/Databricks, Spark, Kafka, and Python/Java/Scala.