Internship - Data Engineer

Company Description

Numberly helps its customers collect, analyze and leverage their data across all marketing channels. To do this, we are more than 100 engineers (a quarter of Numberly) divided into teams with a human dimension, where we ensure that everyone develops a positive influence and can be autonomous. Our sustained growth forces us to constantly question our technical and organizational choices.

With seven offices worldwide and clients in more than fifty countries, our challenges are global.

Due to our wide range of interconnected products, our technical challenges are very varied and often complex. Our daily missions consist of processing thousands of requests per second, distributed throughout the world, operating databases of several petabytes (Big Data), automating our entire bare-metal infrastructure, and building the digital marketing interfaces of tomorrow.

**Job Description**:
Numberly is looking for a Data Engineer to join its dedicated team to Big Data and RTB.
As a Data Engineer you will:

- Create and maintain pipeline jobs that transfer client data to/from our database diverse infrastructure (Hive, MongoDB, ScyllaDB).
- Nurture our large Hadoop cluster, optimize distributed Data Operations and Storage.
- Participate in decision making concerning efficient & ethical use of data and technological evolution at Numberly.
- Work alongside Data Scientists, DevOps, and many other talented techs.
- Suggest your own technological solutions and try them out (our latest successful POCs include Apache Kafka and ScyllaDB).
- Join a great multicultural team filled with wonderful people

**Qualifications**:
**You**:

- Like data in all its forms: raw, reworked, refined, calculated, analyzed, reused
- Like work well done and pay attention to detail
- Dream of being able to develop and manage website databases with strong traffic
- Want to work with various, prestigious clients on different problems
- Are on the lookout for new languages/technologies and test the latest open source trends before others

**You love the following stack ?**
- Hadoop ecosystem (HDFS, Hive, Impala, HBase,...)
- Apache Spark
- ETL (Apache Airflow or equivalent)
- SQL Databases (MySQL, SQLServer)
- NoSQL databases (MongoDB, ScyllaDB, ElasticSearch,...)
- Apache Kafka
- Python, Java, Scala
- Git
- Linux

**Even better if you know**:

- Cloud Solutions (AWS, GCP,)
- API REST, WebServices
- Docker
- Kubernetes
- Apache Druid
- Data Science and Machine Learning
- Message Queuing (RabbitMQ, Celery,)

Additional Information
- At Numberly, we share a passion for **transmission**: weekly internal talks, meetings with professionals who are experts in their field, and continuous learning.- Fast and
- **powerful onboarding**, thanks in particular to:
- Vis ma vie in different teams;
- Happy Meetings: monthly internal meetings to get together with all our teams around the world and share the group's news.
- We cultivate the **freedom of speech** that allows everyone to participate in the group's development.
- We have a **positive impact** on our ecosystem through 1000mercis impacts and through our activities that create value in the Open Internet and contribute to the enrichment of Open Source.
- Numberly is a diversity player and **Gender Equal by design**: WeConnect International certification and 54% women in governance bodies
- Numberly is an **international environment** with over 30 nationalities in our teams.
- ** Offices that reflect each team**, a generous library, a large fully equipped music studio, two cats, waste separation and worm composting, the possibility of bringing your pet and space for bicycles In each kitchen: coffee, tea, herbal teas and also mystery lunches, yoga classes, sports classes and parties (often fancy dress).
- ** Possibility to be remote** up to 50% of your time (to be arranged as you wish) and to work up to 60 consecutive (working) days in remote.
- Swile card (**meal vouchers**).
- ** Mobility** possible in our various international offices.
- Numberly welcomes people with disabilities.