Junior Big Data Engineer

At Monster Career we enjoy connecting smart professionals with new challenging projects! To do so, we’re cooperating with one of the leading telecommunication companies in Europe.

Prague English

Big Data Cloudera Hadoop Kafka Python Spark


About company

Become one of the members of their Big Data department which is working on very interesting projects (Commercial Roaming, Data-Driven Network Rollout, Magenta House, Machine Learning based Fraud Detection, & more) where they use trendy and new technologies.

Whether you have experience or not, the skilled team is ready to guide you through everything you would need to successfully work in becoming a Big Data expert in Hadoop, Python, Spark, Kafka and GIT.

Role description

YOU WILL BE RESPONSIBLE FOR:
•Work with real-time BI and Big Data analytics based on Cloudera Hadoop, Apache Kafka
•Interact with experienced colleagues you can learn from
•Be a valuable member of an international agile team (based on Scrum / SAFe methodology)
•Look into interesting telco, network and customer data
•Receive full trust from the team e.g. about which tools are used (no strict rules about standards)
•Participate on interesting machine learning use cases
•Have a specific IT team role that fits you best based on your skills (analyst, developer, tester or mixed)
•Travel to meet part of the team in Germany for 2 days every 3 months

YOU CAN BRING TO THE TEAM YOUR:
•Programming knowledge (preferably Python or Scala), SQL and Unix/Linux skills (Junior level)
•Knowledge of Big Data distribution Hadoop (Cloudera or Hortonworks)
•Basic knowledge of Spark development (Python API preferred); knowledge of Kafka, Impala/Hive and NiFi is beneficial
•Openness to learning and work with new technologies (Hadoop, Python, Spark, Kafka, Ansible, Jenkins, GIT)
•Willingness to travel to Germany (mainly Bonn) or other countries

YOU DESERVE TO RECEIVE:
•5 weeks holidays and 2 days of personal leave
•Yearly Bonuses, 13th salary
•Laptop and High-end mobile phone with 20GB tariff
•Meal vouchers, cultural & sports benefits and budget for training
•Team and social events
•Flexible working hours & home office options

Contact

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