Senior Data Engineer, AI applications
Kaizen Gaming, the team powering Betano, is one of the biggest Game
Tech companies in the world, operating in 17 markets.
We always aim to leverage
- edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2, 700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role:
At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform, and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered
- pilots to CRM optimizations.
We build our teams to be
- driven, autonomous, and
- functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Product Analysts, Product Owners, and Agile Delivery Leads.
As a Senior Data Engineer, you will focus on delivering robust and scalable data pipelines which transform raw data to features that can be used in Machine Learning models.
As a Senior Data Engineer, you will:
- Design, develop and maintain scalable data processing pipelines in a distributed, and
- intensive production environment; - Design, develop and maintain microservices in Python that serve these features on production;
- Design, develop and maintain internal tools that enable CI/CD pipelines, experiment tracking, and data versioning;
- Guarantee data integrity by employing data quality processes.
What you’ll bring:
Must have:
- Significant experience in software development using Python on a large scale,
- performance production environment; - Significant
- on experience with Spark and Py
Spark; - Significant experience with data modeling and handling structured and unstructured data;
- Significant experience with Apache Kafka;
- Experience with cloud environments;
- Expert skills in Distributed Software System design;
- Excellent problem solving and communication skills.
Nice to have:
- Experience with the Databricks Platform;
- Experience with streaming data and
- time data processing frameworks; - Experience with No
SQL DBs, such as Redis and Neo4j; - Good understanding of ML algorithms and the ML-project lifecycle.
Location
Hybrid way of working & remote options
A buddy will support you with your onboarding
Private health insurance for you & your family
Monthly meal allowance
Nice Rigs- 2. 5K monitor, latest i7, tons of Ram, fast SSD
Unlimited access to Udemy & continuous training
#J-18808-LjbffrSeja o primeiro a candidar-se à vaga de emprego oferecida!
-
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