Big Data Engineer
Infosistema
Lisbon, PT
há 3 horas

At the moment we are looking for a Big Data Engineer, Thinker and performer, for a major project in a consulting client

Infosistema is a technology and business consultancy that provides IT Consulting services in several sectors. Our experience (national and international) allows us to offer our customers the most innovative and diversified technological solutions adapted to their needs.

Our team has more than 150 technical certifications, which demonstrates the importance that the technological specialization and the training of our employees has for us.

Attracting and promoting the professional growth of new talent is also one of our priorities. The Infosistema values ' ' - Agility, Flexibility and Competence - are reflected by our work.

This is the only way we can effectively contribute to the success of our customers.

Description

  • Data modeling, data ingestion and data processing applied to near-real-time use cases;
  • Design, develop and maintain scalable, fault-tolerant and high performant solutions for large-scale processing systems;
  • Build data pipelines to collect data from different sources using real time or batch technologies;
  • Prepare, integrate, and consolidate data for different purposes;
  • Automate processes such as pipeline observability, continuous integration and continuous deployment.
  • Mandatory :

  • Development with languages as Java, Scala, SQL, Shell Script, etc;
  • Use of Big Data Tools as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc;
  • Knowledge of NoSQL Databases as Hbase, MongoDB, Cassandra, Ignite, etc;
  • Knowledge of agile methodologies as Scrum, Kanban, etc;
  • Fluent in English
  • Wanted :

  • Experience in distribution-based architectures as Cloudera, AWS, Azure, Google Cloud, etc;
  • Knowledge of Data Governance;
  • Use of ETL tools as Apache NIFI, Talend, etc
  • Experience with CI / CD tools as Jenkins, Nexus, Sonarqube, etc;
  • Exposure to containerized systems using technologies as Docker, Kubernetes and Helm, etc.
  • Soft Skills :

  • Communication;
  • Teamwork;
  • Adaptability;
  • Collaboration;
  • Cooperation;
  • Autonomy.
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