(Ref. 436/2019) - Big Data Engineer

Job description


  • Contribute in the design and construction of the company data lake;
  • Collect, store, process, and support the analysis of huge sets of data, both structured and unstructured;
  • Choosing optimal solutions to use in big data use cases, then maintain, implement, monitor and integrate them with the data and IT architecture used across the company;
  • Build and teach the company about big data technologies, participate actively into the journey setup, from the discovery phase until the corporate data centric transformation;
  • Build solutions with key concepts: security and privacy by design.







What do I need to bring?

  • Degree in Computer Science or equivalent;
  • Knowledge of the Linux operation system (OS, networking, process level);
  • Understanding of Big Data technologies (Hadoop, Hbase, Spark, Kafka, Flume, Hive, etc);
  • 3+ years of building data pipelines experience or equivalent;
  • Understanding of one or more object-oriented programming languages (Java, C++, C#, Python);
  • Fluent in at least one scripting language (Shell, Python, Ruby, etc.);
  • Experience with at least one Hadoop distribution (Cloudera, MapR or preferably Hortonworks);
  • Experience building complex data processing pipelines using continuous integration tools;
  • Experience with Cassandra, MongoDB or equivalent NoSQL databases;
  • Experience developing in an Agile environment.


What will be valued?

  • Technical Certifications;
  • Experience in designing big data/distributed systems;
  • Experience creating and driving large scale ETL pipelines.


What can Syone offer me?

  • Integration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions;
  • Strong IT training plans;
  • Professional evolution with intervention in ambitious technological projects, both national and internationally.