BairesDev is seeking a distributed Systems Engineer to work on the internals of Apache big data projects. You’ll help shape engines, storage, and metadata services at petabyte scale, with opportunities across Spark, Flink, Trino, Hadoop, and more.
BairesDev is seeking a distributed Systems Engineer to work on the internals of Apache big data projects. You’ll help shape engines, storage, and metadata services at petabyte scale, with opportunities across Spark, Flink, Trino, Hadoop, and more.
UnipolTech, società altamente innovativa del Gruppo Unipol e leader in Europa nello sviluppo di piattaforme IoT che consentono di raccogliere ed elaborare informazioni in tempo reale su milioni di veicoli connessi, è alla ricerca di un
We are looking for a person under 30 for a full-time apprenticeship contract, with a view to an ongoing, long-term collaboration. What you will do As a Junior Backend Developer at Synextya, you will work integrating
BairesDev is seeking a Distributed Systems Engineer to work on Apache Spark internals, not pipelines, focusing on the engine core (Catalyst, Tungsten, DAG Scheduler, Shuffle, memory management) at petabyte scale. The role involves upstream contributions and engine-level
Experteer Overview As an Azure Data Architect at NTT DATA, you design and operalize secure, scalable data platforms that turn raw data into actionable insights. You collaborate with business analysts and solution architects to translate use
Informazioni sull’offerta di lavoro Siamo alla ricerca di un/una Data Engineer / Databricks Developer da inserire allinterno del team per progettare, sviluppare ed evolvere soluzioni Data & AI su piattaforma Databricks , con particolare attenzione al
Cosa farai Prenderai in carico e svolgerai attività di gestione, amministrazione ed evoluzione di piattaforme Hadoop prevalentemente basate su distribuzioni Cloudera, in contesti enterprise di grandi dimensioni. Opererai nell’ambito di un team tecnico specialistico, occupandoti della
BairesDev is seeking a Distributed Systems Engineer to work on Apache Spark internals, not pipelines, focusing on the engine core (Catalyst, Tungsten, DAG Scheduler, Shuffle, memory management) at petabyte scale. The role involves upstream contributions and engine-level