DataOps - Data Infrastructure Engineer
Numberly is recognized as one of the world's leading data marketing specialists with nearly 500 employees and 8 offices worldwide serving more than 500 blue-chip clients (L'Oréal, Sanofi, Moleskine, Campari, Nestlé, HSBC..). By putting technology to work for brands and consumers, Numberly is at the heart of business growth and everyone's desire for more responsible and relevant marketing. Numberly leverages the latest advances in data processing, analysis and activation, incorporating artificial intelligence technologies. This approach is part of a virtuous circle in which business competitiveness goes hand in hand with greater respect for privacy and data protection.
To do so, Numberly operates its own infrastructure, split over multiple datacenters. It gives us the ability to operate multiple distributed databases and process billions of events every day at scale while optimizing its cost and maintaining latency goals.Our sustained growth pushes us to constantly challenge our technical and organizational choices. We need to solve complex problems in short windows of time, so we rely a lot on automation.
We also love Open-Source software and we strive to redistribute to the community.
If your dream job is to automate and solve complex problems at scale and work with hundreds of software engineers who share the same goal, this job is for you.
Your missions:
- Design, create, operate and maintain large data storage architectures
- Know when to leverage existing tools and when to develop something new
- Interact with other teams to proactively solves scaling problems
Qualifications:
Who you are:
At least 2 years operating databases infrastructures in production
Experienced in operating production systems (in a team if possible)
Troubleshooting skills
Good communicator, able to popularize work, defend ideas and listen to others
Willingness to progress and to help others progress, technically (meetups, internal training) and humanly
Strong Linux internals understanding
Our data ecosystem:
Cloudera Hadoop - HDFS / Hive / Spark2 / Hue
Apache Kafka
SQL Server, PostgreSQL, MySQL
Scylla, MongoDB, Elasticsearch, Redis
Apache Airflow
Zeppelin, Jupyter
OpenIO/minio
Ansible, terraform
On-Premise infrastructure
Cloud infrastructure: AWS, Azure
Gitlab, Jenkins
Kubernetes
Prometheus, Elasticsearch, Graylog
Python, Go
Ubuntu
What we're planning to work with:
OLAP structures : Clickhouse or Druid.
Graph databases ( Neo4j, JanusGraph .. )
Dataviz tools ( Superset, Metabase and more )
NewSQL databases benefits.
What we would love you already do:
Past experience operating *SQL servers
Open-Source contributions
Experience in automating large-scale systems
Past (or present) developer experience
Additional Information
- At Numberly, we share a passion for passing on information to both our teams and clients: weekly internal talks, meetings with professionals who are experts in their field, and ongoing learning.
- Our onboarding is fast and powerful, thanks to the "Jedi Masters" assigned to each newcomer; the "Vis ma vie" (“Live my life” in different teams); and the "Happy Meetings" (monthly internal get-togethers with all of our teams around the world to share the group's latest news).
- We cultivate freedom of speech, which allows everyone to participate in the group's on-going development.
- We positively impact our ecosystem through 1000mercis actions and activities that create value in the Open Internet; we contribute to the enrichment of the Open Source.
- Numberly is a diversity player and Gender Equal by design (WeConnect International certification and a gender equity score of 97/100).
- Numberly offers an international environment, hosting over 30 nationalities worldwide.
- Other perks: offices that reflect each team, a generous library, a large fully equipped music studio, two cats, waste separation and worm composting, the ability to bring your pet, and room for bikes! In each kitchen: coffee, tea, infusions at will and also mystery lunches, yoga classes, sports classes and parties (often disguised).
- Possibility to be remote up to 50% of your time (to be organized as you wish) and to work up to 60 consecutive days (working days) in remote locations in Europe
- Swile card (meal vouchers).
- Mobility is possible within our various international offices.
- Numberly welcomes people with disabilities.
Additionnal information:
- At Numberly, we share a passion for transmission: weekly internal talks, meetings with expert professionals in their field, continuous learning.
- Fast and powerful onboarding, in particular thanks to: the mentor assigned to each newcomer; to Live my life in different teams; Happy Meetings: monthly internal meetings to meet up with all our teams around the world and share group news.
- We cultivate freedom of speech which allows everyone to participate in the development of the group.
- We act positively on our ecosystem through 1000mercis impacts and via our activities which create value in the Open Internet and contribute to the enrichment of Open Source.
- Numberly is an actor of diversity with a gender equity score of 97/100.
- Numberly is an international environment with more than 30 nationalities in our teams.
- Offices in the image of each of the teams, a generous library, a large fully equipped music studio, two cats, selective sorting and vermicomposting, the possibility of bringing your pet and space for bicycles! In each kitchen: coffee, tea, unlimited infusions and also mystery lunches, acting classes, Gymlib partnership, sports classes and parties (often in disguise).
- Possibility to be remote up to 50% of your time (to be organized as you wish) and to work up to 60 consecutive (working) days remotely.
- For those who need, the possibility of working full remote during the period of the Olympic Games.
- Swile card (meal vouchers).
- Possible mobility in our various offices abroad.
- Numberly welcomes people with disabilities.
- Department
- Tech - Data
- Role
- Data BI Engineering
- Locations
- Paris
- Remote status
- Hybrid
- Employment type
- Contract
DataOps - Data Infrastructure Engineer
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