Állás részletei
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Cég neve
High Tech Engineering Center Kft.
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Munkavégzés helye
1052, Budapest, Szervita tér 8. -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- JAVA MACHINE LEARNING ANALYTICS SPARK
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Elvárások
- Angol középfok
- 5-10 év tapasztalat
- Középiskola
Állás elmentve
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Állás leírása
Responsibilities
- Designing, building, and maintaining large-scale distributed data systems
- Developing data processing pipelines using technologies such as Spark and streaming solutions
- Working on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs
- Contributing to data-intensive projects involving analytics, data discovery, and algorithm development
- Collaborating with cross-functional teams across multiple locations and product areas
- Participating in architecture and design decisions for scalable, multi-datacenter solutions
- Continuously improving system performance, scalability, and reliability
- Challenging existing assumptions and proposing innovative data engineering solutions
Requirements
- 5+ years of hands-on professional software development experience
- Strong programming skills in Scala and/or Java
- Experience working with Big Data technologies such as Spark and distributed systems
- Hands-on experience with data streaming (e.g. Kafka) and distributed data storage (e.g. Cassandra)
- Strong problem-solving mindset and ability to work on complex, unsolved challenges
- Excellent written and verbal communication skills
- Ability to work effectively in distributed, cross-functional teams
- Proactive and self-driven approach to engineering challenges
- Technical expertise in programming: Scala, Java
- Technical expertise in Big Data processing: Spark
- Technical expertise in streaming technologies: Kafka
- Technical expertise in distributed storage systems: Cassandra
- Technical expertise in workflow orchestration: Airflow
- Technical expertise in stream processing frameworks: Flink
- Technical expertise in distributed system design and multi-datacenter architectures
Nice-to-have
- Experience with Knowledge Graphs or graph-based data systems
- Background in machine learning or data science
- Experience in music information retrieval
- Exposure to advanced data modeling and algorithm development
What we offer
- Working on large-scale distributed systems for globally recognized products
- Being part of a highly skilled, international engineering team
- Solving complex and previously unexplored data challenges
- Influencing architecture and design in cutting-edge data platforms
- Joining a culture that values innovation, ownership, and engineering excellence
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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