Our Customer connects shoppers to the brands leveraging personalized digital media. Customer owns the evolving purchase history of more than three-quarters of American shoppers. With the world’s largest shopper purchase history database driving personalized media across our networks.

Job Description
- Minimum of 3 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
- String Experience implementing ETL processes and building data pipelines
- Experience with Big Data frameworks such as Hadoop
- Experience of Nifi, SOLR, and HBase is a plus
- Experience building stream-processing systems, using solutions such as Apache Spark, Kafka etc...
- Experience tuning Hadoop/Spark parameters to improve performance
- Experience with Big Data querying tools
- Data modeling and schema design
- Strong SQL programming background with the ability to troubleshoot and tune the code
- Proven understanding and demonstrable implementation experience of cloud data platform technologies
- Excellent inter-personal and teamwork skills
- Strong problem solving, troubleshooting and analysis skills
- Experience working in a geographically distributed team
- Experience with leading and mentorship of other engineers
- Good knowledge of Agile Scrum
- Good communication skills

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
- Manage cloud based data & analytics platform
- Deploy updates and fixes and assist technical support

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