T Hub - Senior Data Engineer

• Design, build, and maintain the big data pipelines on huge Hadoop cluster with multiple components
• Collaborate with data scientists and architects to implement high-performance data processing pipelines using mainly Spark ,Airflow, Kafka, CICD. 
• Read data from various data sources like Kafka, RDBMS, NoSQL DB, S3 and other
• Ensure data privacy and compliance with relevant regulations. 
• Participate in the entire development lifecycle, from concept to deployment. 

Working at T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, we do not only provide a platform to hone your technical skills but also empower you to be a catalyst for innovation.

You'll have the opportunity to work at the forefront of modern technologies, from 5G to IoT and AI, shaping the future of connectivity.

A fair approach to all people who want to join T Hub means that:

• The recruitment process is transparent;
• Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on yhe outcome of the process);
• Regardless of the outcome of the process, you will get detailed feedback

• Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred. 
• At least 5 years of experience in a Data Engineer role, preferably in the telecommunications industry. 
• Proficiency in big data tools (Spark, Kafka, Hadoop, Airlow etc.) and programming languages (Python, Scala, Java etc.). 
• Nice to have experience with ElasticSearch/OpenSearch
• Strong knowledge of data structures, algorithms, and distributed systems. 
• Experience with cloud services (AWS, Google Cloud, Azure) is a plus. 
• Use good practices (clean code, code review, TDD, CI/CD)
• Navigate efficiently within Unix/Linux systems
• CI/CD: Git, Jenkins, ArgoCD, helm, K8s
• Agile mindset
• Experience in intercultural collaboration