06 May
Hadoop Developer
Vacancy expired!
- This Design and build high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB and object storage architecture.
- Design and build the data services on container-based architecture such as Kubernetes and Docker
- Partner with Enterprise data teams such as Data Management & Insights and Enterprise Data Environment (Data Lake) and identify the best place to source the data
- Work with business analysts, development teams and project managers for requirements and business rules.
- Collaborate with source system and approved provisioning point (APP) teams, Architects, Data Analysts and Modelers to build scalable and performant data solutions.
- Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
- Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure.
- Work with DBAs in Enterprise Database Management group to troubleshoot problems and optimize performance
- Support ongoing data management efforts for Development, QA and Production environments
- Utilizes a thorough understanding of available technology, tools, and existing designs.
- Leverage knowledge of industry trends to build best in class technology to provide competitive advantage.
- Acts as expert technical resource to programming staff in the program development, testing, and implementation process
Vacancy expired!