Data Engineer - eFraude - (2500030Y)

We are recruiting a new Data Engineer for our cybersecurity application, responsible with the eFraud detection. The mission is to develop and maintain the data infrastructure, to anticipate and prevent the incidents on the fraud detection.

What you will do:

• Carry out Bigdata project developments to meet Efraude business needs and technical needs, perform end-to-end testing by defining test scenarios and documenting defects, carry out deployment in production;
• Design, develop and maintain data pipelines for extracting, transforming and loading data from different sources;
• Develop and maintain the data infrastructure (database, data warehouses, data lake) and data visualization tools;
• Help anticipating and preventing production incidents on the fraud detection micro services hosted on the Big Data environment (investigations, follow-up, and communication with all the actors involved);
• Data environment (investigations, follow-up, and communication with all the actors involved);
• Build a strategy to reduce technical debt, improve security, and ensure the decommissioning of unused resources;
• Be accountable with the rest of the team on up-to-date documentation, compliant data governance and usage.

Profile

• Minimum 3 years of experience (development activities, PROD follow-up);
• Mandatory technical skills: Scala, Spark, Hadoop, Cloudera CI/CD, Jira, ElasticSearch;
• Nice to have: HDFS, HBase, control-M, Yarn, Kafka;
• Language: English Advanced;
• Soft Skills: autonomy, be proactive in solution proposition, be thorough on respecting planning commitments and reporting.