Big Data Software Engineer Rif: 30111700

Location: MILANO, Italy
Date Posted: 30-11-2017
Big Data Software Engineer
The Challenge:
As part of a new team in MIT Lab business unit, you will be working on cutting edge R&D to drive customers to a new point of view ok handling data.
You will help build the next generation of predictive models and optimization algorithms.
 For this role we require a person passionate about data who will: 
• Build data pipelines that power the classifiers and predictive models on large-scale datasets with high uptime and production level quality.
• Managing large scale ETL on Hadoop clusters 
• Work closely with data scientists to translate ML and optimization algorithms to distributed algorithms running on large scale data sets using Spark, Hive, Python, and other big data technologies. 
What we require:
• Experience with Kafka, Jenkins
• Proven ability to work well in a high performing team with agile development approaches and technology
• Translate high level requirements to actionable tasks/deliverables and creative problem solving a must
• Ability to work cross-functionally with various teams including: site reliability engineers, project managers, product managers, and other teams
What you need to succeed:
• Must have good command of Hive, Python, UDF (java), hive/hadoop streaming (python), Spark / Scala, Kafka
• Experience with tuning hadoop clusters and other big data ETL technologies
• 3+ years Object oriented programming experience with Java, C++, or Scala, etc
• Distributed computing principles and experience in big data technologies including performance tuning
• Expert in data structures, algorithms, and multi-threading
• Test driven approach - Junit, TestNG; Experience with Jenkins, Maven, Gradle or build tools
Ideal Candidate Profile:
• BS/MS in Computer Science or related technical field with 5+ years of experience
• Experience with Real Time Bidding / Ad Tech background
• Experience with big data techniques (Hadoop, MapReduce, Spark, Hive, Amazon AWS)
• Experience with production Kafka
• Good communication skills

I candidati interessati a questa posizione lavorativa possono inviare il loro curriculum vitae, cliccando nell’apposita area dedicata sottostante e seguendo la procedura di registrazione guidata, oppure all’indirizzo   
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