Big Data Engineer

IT Warsaw, Poland


Your tasks:

  • Development and maintenance of distributed systems processing large amounts of data (most real-time) for the needs of our RTB platform;
  • Optimization of the developed software in terms of efficiency and resource consumption;
  • Ensuring the reliability and scalability of the solutions built;
  • Creating performance and correctness tests for new system components;
  • Analysis of new technologies in terms of their applicability in production conditions;
  • Development of tools for monitoring and analyzing the operation of the production system;
  • Continuous optimization of existing tools and processes.
Selected technologies used:
  • Java, Python;
  • Hadoop, Kafka;
  • Kafka Streams, Flume, Logstash;
  • Docker, Jenkins, Graphite;
  • Aerospike, PostgreSQL;
  • Google Big Query, Elastic.
Selected issues that we have dealt with recently:
  • Replacement of the framework in the data processing component (transition from Storm to Kafka Streams);
  • Creating a data stream merger based on the Kafka Client API;
  • Creating a user profile synchronizer between DCs based on Kafka Streams;
  • Creating a component that calculates aggregates based on the Kafka Client API and Bloom filters;
  • Implementation of Logstash for loading and Elastic for querying indexed data (transition from Flume + Solr);
  • Creating end-to-end monitoring of data correctness and delay;
  • Replacement of the data streaming component to BigQuery and HDFS (from Flume to a proprietary solution based on Kafka Client API);
  • Continuous system maintenance, detection and resolution of performance problems, as well as scaling due to the growing amount of data.
Our expectations:
  • Proficiency in programming;
  • Excellent understanding of how complex IT systems work (from the hardware level, through software, to algorithmics);
  • Good knowledge of basic methods of creating concurrent programs and distributed systems (from thread level to continental level);
  • Practical ability to observe, monitor and analyze the operation of production systems (and draw valuable conclusions from it);
  • The ability to critically analyze the solutions created in terms of efficiency (from estimating the theoretical performance of the designed systems to detecting and removing actual performance problems in production);
  • Readiness to work in the DevOps model.
Additional advantages will be:
  • Experience in creating distributed systems;
  • Good knowledge of selected Big Data technologies such as Hadoop, Kafka, Storm, Spark or Flink;
  • Knowledge of application profiling methods and tools (preferably Java, both from the JVM and Linux level)
We offer:

  • Attractive salary;
  • Work in a team of enthusiasts who are willing to share their knowledge and experience;
  • Extremely flexible working conditions - we do not have core hours, we do not have holiday limits, you can work fully remotely;
  • Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;
  • Hardware and software you need.
Do you have questions about the project, team, style of work? Visit our tech blog: