Senior Data Engineer

Há 3 dias

Lisboa, Lisboa, Portugal Kaizen Gaming Tempo integral 45 000 € - 70 000 € Contrato

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Overview

Senior Data Engineer role at Kaizen Gaming

Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 19 markets. We always aim to leverage cutting-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 across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work. Ready to Press Play on Potential?

At Kaizen, we aim to harness the power of 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 this mission. We develop AI products for applications ranging from detecting fraudulent activity to providing personalized gaming recommendations, and from building AI-powered copilots to optimizing CRM strategies. Our teams are designed to be self-driven, autonomous and cross-functional. You will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Product Analysts, Product Owners and Agile Delivery Leads.

Responsibilities

Design, develop and maintain scalable data processing pipelines in a distributed, and data-intensive production environment;
Design, develop and maintain microservices in Python that serve features on production;
Design, develop and maintain internal tools that enable CI/CD pipelines, experiment tracking and data versioning;
Ensure data integrity by employing data quality processes.

What you’ll bring

Must have:

Proficiency in software development with Python in large scale, high-performance production environments;
Hands-on experience with Spark and PySpark;
Deep knowledge with data modeling and expertise in handling both structured and unstructured data;
Hands-on experience with Apache Kafka;
Exposure to cloud environments;
Familiarity with Distributed Software System design;
Excellent problem-solving and communication skills.

Nice to have:

Hands-on experience with the Databricks Platform;
Experience with streaming data and real-time data processing frameworks;
Experience with NoSQL DBs, such as Redis and Neo4j;
Good understanding of ML algorithms and the ML-project lifecycle.

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We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation, or age.

Job details

Seniority level: Not Applicable
Employment type: Full-time
Industries: Advertising Services, Media Production, and Online Audio and Video Media

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