Data Engineer at Inetum

As part of the Data Engineer team you will be responsible for design development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines streaming analytics distributed big data and machine learning infrastructure. You will interact with the engineers product managers BI developers and architects to provide scalable robust technical solutions.Qualifications : Bachelors degree in Systems Engineering Computer Science Mathematics or related field. If you do not meet this educational requirement you must have Min 6-8 years of BIG data development experience.Demonstrates up-to-date expertise in Data Engineering complex data pipeline development.Experience in agile modelsDesign develop implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability low -latency and fault-tolerance in every system built.Experience with Java Python to write data pipelines and data processing layersExperience in Airflow & Github.English conversationalExperience in writing map-reduce jobs.Demonstrates expertise in writing complex highly-optimized queries across large data setsProven working expertise with Big Data Technologies Hadoop Hive Kafka Presto Spark HBase.Highly Proficient in SQL.Experience with Cloud Technologies ( GCP Azure)Experience with relational model memory data stores desirable ( Oracle Cassandra Druid)Provides and supports the implementation and operations of the data pipelines and analytical solutionsPerformance tuning experience of systems working with large data setsExperience in REST API data service Data ConsumptionRetail experience is a huge plus.Additional Information : Prestaciones superiores a las de ley.Flexibilidad laboral (hbrido/remoto).Acceso a herramientas y tecnologas de vanguardia.Oportunidad de crecimiento profesional en proyectos de alto impacto.Remote Work : YesEmployment Type : Full-time Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Experience: years Vacancy: 1