Position: Data Engineer
Company: GlobalLogic
Category: Data Science
Experience required: 2y
English level: upper

-**Minimum of 2 years in working with Enterprise Data Warehouse technologies**
-Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
-Strong Experience implementing ETL processes and building data pipelines
-Experience with Big Data frameworks such as Hadoop
-Good experience with Apache Spark framework  
-Experience tuning Hadoop/Spark parameters to improve performance
-Experience with Big Data querying tools
-Data modeling and schema design
-Experience of Nifi, ElasticSearch/SOLR, and HBase is a plus
-Proven understanding and demonstrable implementation experience of cloud data platform technologies (Azure or AWS)
-Strong SQL programming background with the ability to troubleshoot and tune the code
-Excellent interpersonal and teamwork skills
-Strong problem solving, troubleshooting and analysis skills
-Experience working in a geographically distributed team
-Knowledge of Java language is a big plus
-Good knowledge of Agile Scrum

**Job Responsibilities**
-Architect, develop and manage large scale data systems and ingestion capabilities and infrastructure
-Support Design and development of solutions for the deployment of dashboards and reports to various stakeholders
-Work directly with the business teams to rapidly prototype analytics solutions based upon business requirements
-Architect data pipelines and ETL processes to connect with various data sources
-Design and maintain enterprise data warehouse models
-Tune and improve the performance of reporting solutions
-Deploy updates and fixes and assist technical support