Interesting Job Opportunity: Big Data Engineer - Spark/Hadoop
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Job Description
- Front Door (Requirements, Metadata collection, classification & security clearance)
- Data pipeline template development
- Data pipeline Monitoring development & support (operations)
- Two years of experience building production-quality software infrastructure
- Ability to own and deliver on large, multi-faceted projects
- Fluency in SQL and experience with RDBMSs (BigData, Spark, PySpark, Flink, sparkML, NiFi, Hive, Python, NoSql DBs)
- Experience designing and building big data pipelines
- Experience working on large scale, distributed systems
- Scala/Java/Python for micro-services and APIs
- Docker and Kubernetes to package and run services
- HDP, Oracle skills & Sql; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC)
- Docker/Kubernetes knowledge
- Jenkins, K8S
- Google Cloud certification
- Unix or Shell scripting
Skills
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