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Senior Big Data Engineer

Intro

Intro Intro

Make an impact  by working for sectors where technology is the enabler, where everything is ground-breaking and there’s a constant need to be innovative. Be part of the team that combines business knowledge, technological edge and a design experience - who complement and help each other in developing solutions and experiences for digital clients. Face challenges and learn other ways of thinking and seeing the world. There’s always room for your energy and creativity.
About the role:
You will have the challenge to perform Big Data engineering in different projects, with the cross effort in automating incidents from detection to resolution, solution modules Big Data & ML to detect, filter, correlate and identify the root cause of issues.
Responsibilities

Responsibilities Responsibilities

  • 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.
Requirements

Requirements Requirements

  • Development with languages as Java, Scala, SQL, Shell Script, etc;
  • Use of Big Data Tools as Spark, Kafka, Hadoop, Hive, Flume, Nifi, etc;
  • Knowledge of NoSQL Databases as Hbase;
  • Knowledge of agile methodologies as Scrum, Kanban, etc;
  • Experience in code repository tools (git, bitbuket).
  • Experience in distribution-based architectures as Cloudera and/or cloud based;
  • Fluent in English
Nice to have:
  • Experience with CI/CD tools as Jenkins, Nexus, Sonarqube, etc;
  • Telco business knowledge