Position: Middle/Senior Data Engineer (IRC103196)
Company: GlobalLogic
Experience required: 2y
English level: intermediate

Job Description
Minimum of 3 years in working with Enterprise Data Warehouse technologies
Strong Experience implementing ETL processes and building data pipelines
Practical experience with Hadoop/Spark jobs development (Scala as primary, Python as optional)
Practical knowledge of ETL processes, data pipelines
Experience with NiFi, SOLR as plus
Practical experience with development of batch processing Spark jobs, Spark streaming jobs as plus
Strong/good SQL background
Good knowledge of Linux system and scripting on bash/python
Understanding of Data Lake/Data Warehouse architecture
Experience with Big Data querying tools
Strong SQL programming background with the ability to troubleshoot and tune the code
Experience with cloud data platform technologies for data processing and alalysis
Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
Practical knowledge of data modeling and schema design
Excellent inter-personal and teamwork skills
Strong problem solving, troubleshooting and analysis skills
Experience working in a geographically distributed team
Good knowledge of Agile Scrum
Good communication skills


Job Responsibilities
Architecture, development, orchestration and managing data processing pipelines, ETL processes for large scale data systems
Involving in design support and solutions development for the dashboards/reports deployment to various stakeholders
Work directly with the business teams for rapid prototyping of analytics solutions based on business requirements
Enterprise data warehouse processes maintenance
Tuning and performance improvements of reporting solutions
Manage cloud based data & analytics platform
Deploy updates and fixes, technical support
Department/Project Description
Our Customer connects shoppers to the brands leveraging personalized digital media. Customer owns the evolving purchase history of more than three-quarters (280 million) of American shoppers. With the world’s largest shopper purchase history database driving personalized media across our networks, they drive lift and loyalty for the world’s leing retailers and CPG brands.

Keyskills - Must Have
Big Data Data Warehousing ETL