We are a digitally native company where innovation, design and engineering meet scale. We use the latest technologies in the digital and cognitive field to empower organizations in every aspect.
We want you to join us to work for the biggest clients in tech, retail, travel, banking, ecommerce and media, revolutionizing and growing their core businesses while helping them (and you!) stay ahead of the curve.
Be part of a company with the most cutting-edge practices and technologies plus a unique team.
What are we looking for?
We’re looking for Technical Directors in our data-driven practices (Data Architecture, Data Science) that have the right combination of technical and management talent :
Bachelor's Degree in CS, Information Technologies or related technical field.
Strong experience in data modeling in the Big Data field, dealing with big volumes of data and / or data streams
Hands on experience with Hadoop distributions (Hortonworks, Cloudera, etc) and / or Cloud Data Platforms (AWS, GCP, Microsoft)
Python / Java / scala or equivalent languages.
Proficiency designing and implementing ETL processes
Proficiency designing and implementing Data Warehouse architectures
Understanding of Big Data concepts : HDFS / YARN architecture, MapReduce steps, CAP theorem, high performance analytics and Batch / NRT solutions
Experience working with SQL
Distributed Analysis Platforms
Familiarity with Web Services and serialization, XML, JSON, SOAP, WCF, REST
Advanced English level
What will help you succeed
Experience with NoSQL databases such as Cassandra, Neo4j, HBase, MongoDB, Couch DB, Redis, etc.
Experience with Apache Spark (and understanding of concepts like RDD, DataFrames). Apache Flink, Kafka, Streams or similar
Experience with Elasticsearch
You will get the chance to
Design and implement Data Platforms for real time, large-scale, high performance and scalable requirements, integrating data from several data sources, managing structured and unstructured data while melding existing data warehouse architectures
To be able to communicate efficiently and effectively and be able to understand, interpret and relate an organisation’s and vision to the big data team
Implement a data management strategy
Develop and implement distributed data platforms based on business models
Participate in demos as well as requirements elicitation and traduction to systems requirements (functional and nonfunctional)
Work with the Support Team on Critical Issues
Analyze, diagnose and identify bottlenecks in data workflows