As a Big Data Platform Engineer you will be responsible for our Big Data platform's stability and the design and development of core functionality and strategic solutions that utilize big data technologies in order to meet our constantly changing business requirements. This includes the development of reusable tooling / APIs, an efficient entitlements models, and software stack to accelerate our current big data development and analytics solutions.
Responsibilities include:
Designing and developing strategic technology solutions on Hadoop based on business requirement
- Collaboration within the organization on current and future state architecture
- Hands-on development working within a global development
- Monitoring platform processes and activities across various analytics teams to ensure platform stability
- Coordination with our DevOps teams, infrastructure engineers, and production support to triage and resolve issues and efficiently manage resource capacity of our Big Data platform
Skills Required:10+ Years Total IT experience.
- 5-7 years of appropriate technical experience
- Proficiency with developing software with Scala and Python
- Experience with Spark for data processing
- Experience maintaining Cloudera Hadoop infrastructure such as HDFS, YARN, Spark, Impala and edge nodes
- High quality software architecture and design methodologies and patterns
- Strong SQL skills with commensurate experience in a large database platform. Complete SDLC process and Agile Methodology (Scrum)
- Strong oral and written communication skills
Skills Desired:
- Experience with Core Java
- Experience with XML/JSON technologies
- Experience with Data Federation or Virtualization technologies
- Experience with developing Cloud-based Big Data solutions
- Experience with tools / platforms / technologies like Dataiku, ElasticSearch, etc.
- Experience in development on other application types (Web applications, batch, or streaming)