Lead Data Engineer
Paris, Île-de-France, France
Applications have closed
Homa Games
We're believers in data and builders of tools that help game creators MAKE and PUBLISH hit games with franchise potential built right in.What you will do
At Homa, Data is at the heart of our platform as it enables us to
- Scan the market for new trends and ideas so that game developers can work on the next big hit
- Optimize User Acquisition strategies so that we can bring in more people playing our games
- Optimize Game Development so that players enjoy our games
The Data Engineering team missions includes :
- Data availability : we acquire data from many different sources (Marketing platforms, App Stores, in-game metrics) and early-on we've built a data warehouse where we can centralize and model our data. We make this data available to our Analytics team and Ops teams so they can optimize their decision making.
- Automation : we own end-to-end projects which have tremendous impact on the delivery of the Ops teams (scrapping app stores, automating bidding process and reporting)
We are impact oriented and focus on projects that will improve the efficiency of Homa through the access to data.
Within this context we are looking for an Senior Data Engineer who will lead the design and implementation of our Data stack.
Our data stack contains:
- Python
- Datalake : S3 + Redshift
- ETL : Airflow
- Kubernetes
Your mission will be to
- Own the data stack: optimize usage, prepare to scale and explore new solutions
- Acquire data : connect to new data sources, maintain and scale existing pipelines
- Model data and make it accessible : team up with the Analytics team and the Ops teams to build and maintain datamarts
- Own automation projects : lead cross team projects and tech implementation
Benefits – What we offer
- Full English speaking work environment in the center of Paris
- Enjoy a competitive salary and benefits
- Work in one of the most successful startup of France
- Work with a highly motivated and skilled team of top performers
- Improve your internet start-up expertise and entrepreneurial skills
- Don’t worry about being late, we offer flexible working hours
- Don’t pollute, use public transport or bike-sharing services. We pay back half of the price!
Requirements
Knowledge & skills
- Humble and impact oriented, you are autonomous and communicate, a lot. You embrace the done is better than perfect motto.
- Strong knowledge of python and SQL for ETL / ELT
- Strong knowledge of Airflow and the AWS stack (S3, Redshift)
- Knowledge of the modern data stack ecosystem
- Familiar with the best practices to work with a team: versioning, code review, continuous deployment, automated testing
- Bonus : Experience with MLOps
Background & Experience
- 3+ years of work experience in data engineering, preferably for a web or mobile company, or in the online gaming industry
- MSc in Computer Science / Computer Engineering from a top engineering school
Tags: Airflow AWS Computer Science ELT Engineering ETL Kubernetes MLOps Pipelines Python Redshift SQL Testing
Perks/benefits: Competitive pay Flex hours Startup environment
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