DataOps - Data Infrastructure Engineer
Ile de France, Paris (75000)
Mis en ligne le 3 mars 2021 par 1000mercis (+ d'offres)
Numberly
Type de contrat :CDI
Métier :Architecte de base de données
Niveau d'étude requis :BAC
Expérience :2 ans minimum
Type d'entreprise :SSII
Localisation :Ile de France, Paris (75000)
Salaire :de 40 000 €/an à 60 000 €/an
Télétravail :Pas de télétravail
Compétences requises :SQL
Poste à pourvoir
Numberly helps customers collect, analyze and leverage their data across all marketing channels.
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 mission:
* 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
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 mission:
* 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
Profil recherché
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
S’il vous plaît postuler en ligne à: https://jobs.smartrecruiters.com/Numberly/743999737324598-dataops-data-infrastructure-engineer
* 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
S’il vous plaît postuler en ligne à: https://jobs.smartrecruiters.com/Numberly/743999737324598-dataops-data-infrastructure-engineer
Description de la société
Numberly, Marketing Technologist, puts data at the service of customer relations. The group enables companies to understand the needs of their prospects and customers as well as interact with each other in an efficient and relevant way.
With expertise in omnichannel orchestration, programmatic activation and conversational platforms develop and implement high-impact experiments.
With teams in Paris, London, Brussels, Amsterdam, Dubai, Montreal and New York, Numberly operates in more than 50 countries: the international group has been expanding for almost 20 years. Over 500 employees contribute every day to quality customer satisfaction and execution, remaining curious, agile and innovative, a state of mind that drives Numberly.
With expertise in omnichannel orchestration, programmatic activation and conversational platforms develop and implement high-impact experiments.
With teams in Paris, London, Brussels, Amsterdam, Dubai, Montreal and New York, Numberly operates in more than 50 countries: the international group has been expanding for almost 20 years. Over 500 employees contribute every day to quality customer satisfaction and execution, remaining curious, agile and innovative, a state of mind that drives Numberly.