Position: Data Engineer with Cloud
Company: GlobalLogic
Category: DevOps
Experience required: 3y
English level: intermediate

Job Description:
- 4+ 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 (e.g., Hadoop), and with Apache 
 Spark framework  
- Experience tuning Hadoop/Spark parameters to improve performance
 Data modeling and schema design
- Strong SQL and Python programming background with the ability to t roubleshoot and tune the code
- Good knowledge of Business Intelligence and Data Visualization
 Expertise in AWS/Azure
- Experience with applications deployment (and automation of CI with 
 Terraform, Jenkins), and monitoring
- Upper-intermediate English

Nice to have:
- Experience with Nifi, ElasticSearch/SOLR, and HBase

Job Responsibilities:
- 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
- Develop 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

Department/Project Description"
Client - the worldwide manufacturer of smart beds, which increase the overall quality of sleep. The solution senses and automatically adjusts the comfort level:
- Tracking personal sleep data during the night
- Individual comfort and temperature balancing
- Comfort adjustability on each side of the bed