Data Engineer

Development of pipelines/jobs with Hadoop ecosystem technologies like HDFS, Hive, Spark, Kafka, Airflow.
Implementation of security protocols and systems such as Kerberos, LDAP, AD servers.
Data analysis and design for use-case implementation
Deployment, monitoring, enhancement of pipelines and applications in DevOps model
Communication with stakeholders for continuous enhancement of applications and to gather new requirements.
Performance tuning, scaling and reusability aspects of complex applications.
Development of BI reports and dashboards
Agile way of working
Handling trouble tickets, identifying root-causes and fixing with permanent solutions.

Öppen för alla
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