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Data Engineer
At UpScale, we believe that we can support our partners in their journey to modernization with our highly skilled colleagues and cutting-edge technologies: replacing monolithic systems with advanced microservices, introducing AI solutions to the banking sector, and creating corporate applications that help future users perform their work to the highest standards and achieve their maximum performance.
We always welcome colleagues who are committed to modernization!
If you are interested in Big Data technologies, like to analyze and design, and have no problems getting the necessary data and information, WE ARE LOOKING FOR YOU!
AS A DATA ENGINEER, YOU’LL HAVE THE FOLLOWING RESPONSIBILITIES:
- Building batch and real-time data pipelines in the Big Data/Data Lake ecosystem
- Developing data pipelines based on relational and non-relational warehouse data
- Building the final models into working applications
- Active participation in the agile team
JOB EXPECTATIONS:
- Practical experience with complex data architectures, including decision making
- Programming experience in Java, Shell, Python, Scala
- Proficiency in at least one of the following technologies: Spark, Kafka, Cassandra, RabbitMQ, Airflow, Kubernetes Openshift, ELK, HDFS
- Knowledge of SQL, NOSQL
- Knowledge of English & Hungarian language (reading, writing and oral communication)
- Proactive and problem solving personality
- Team player attitude
- Open to learning new technologies
WHY WORK FOR US?
- We support you in keeping your knowledge up-to-date – we constantly provide diverse and interesting training and education
- We are driven by a thirst for knowledge – we share our experience and expertise with one another unconditionally
- When we’re not in home office, our top class and professional office environment ensures a smooth working environment
- We provide you with a stable, evolving corporate background where we are constantly seeking innovation
If we have piqued
your interest...
your interest...
come to us for a coffee and let's talk!
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