Big Data Consultant (M/F)

Joining Davidson not only means joining a group of 3,000 consultants in 6 countries and 2 continents, but also joining a company that has been voted a Great Place To Work France and Europe by its employees for no less than 4 years , as well as one of the largest B Corps in France, named Best in the World in the "employees" category in 2022! ("B Corps" form a community of companies that have decided not to be the best in the world but the best FOR the world).

Because our development is based on strong principles:

• Deep respect for all our stakeholders: consultants, customers and suppliers. Because if work "can't buy you happiness", it can however cause unhappiness. Therefore, we are committed to listening and acting honestly.
• Equal opportunities in the processing of our applications and in the career management of our employees. We believe in a workplace where gender equality, inclusion and diversity are the norm.
• A minimal environmental impact and a maximum societal impact. That's why, beyond the work you'll be carrying out, you'll also be able to contribute to projects that Davidson supports: international solidarity work (with Planète Urgence), volunteering with charities (each Davidsonian has 3 days a year to work with them), supporting students from underprivileged backgrounds (with Article 1), investing in startups developing innovative solutions, collective and individual actions to reduce our carbon footprint, etc.
• Adhocratic management based on the implementation of the principles of "horizontal company" and "tribal management". One important detail on this last point: well-being at work is a luxury that we must be able to grant ourselves by being a "solid" company. For Davidsonians, this means combining initiative, commitment and professionalism. Because "talent without work is nothing". And it encourages us to recruit .. who are better than us...

We encourage applications from people with disabilities, and we are committed to meeting their specific needs in the best possible way.

Mission / Profil

You will be involved in Big Data projects run by Davidson for its customers in varied sectors (Gaming, Wealth, Telecoms, Finance, etc.), working as an architect and developer on existing or developing platforms.

Your work will cover various areas such as:

• Monitoring developments in technologies and solutions, and making recommendations
• Designing and implementing platforms
• Installing and deploying software clusters
• Designing and implementing structured/unstructured data flows (in batch mode or real time)
• Making technical performance optimisations
• Implementing DevOps
• Supporting operations (backups and restores, SW upgrades)
• Improving and delivering training courses

Skills (pre-existing or to be acquired)

• Hadoop, Cloudera, HDFS, Pig, Hive, Flume, Spark, Elasticsearch, SQL and NoSQL databases (Cassandra, etc.)
• One or more of the following languages: Scala, Python, Java, etc
• Docker and Kubernetes

Currently missing some of these skills? Don't worry: you can pick them up from our Tech Leaders.
Talents/soft skills

• Team player
• Curious
• Thorough
• English language

Description of the segment's business
Business Data

Today, data is a strategic asset that is central to the digital transformation of businesses and acts as the bedrock for creating multiple new services. Davidson's unique data expertise enables it to deliver an end-to-end service for its customers, whether they're data-driven or are "simply" looking to get the most out of their data.

Our business lines:

1. Support for implementing a data strategy
2. Big data architecture
3. Data visualisation
4. Data science

Our technical environment:

• Infrastructures & Storage: Cloud (AWS, Azure, Google Cloud Platform), Cloudera,
• MapReduce, Hortonworks, mongoDB, Hadoop, Cassandra, Splunk, Redis, CouchDB
• Data-processing: Spark, Scala, Kafka, Logstach, Elasticsearch, Hive, Storm, Flink
• Analytics: R, Python, SPSS&SAS, TensorFlow, Sickit learn
• Dataviz: grafana, dataiku, kibana, Tableau, Qlik, JS proprietary tool
• DevOps & containers: Docker, puppet, Jenkins, Sonar, Openshift, Kubernetes, Ansible
• Fields: machine learning, deep learning