Quick Overview
Job Description
Primary Ownership
· Own the Scala/Spark application framework supporting Medicaid Encounter Processing.
· Own the Drools business rule implementation and ongoing rule maintenance.
· Own enterprise data ingestion processes for master data and source system files.
· Own Spark and Hive batch processing workflows.
· Own production issue investigation and application defect resolution.
· Own production releases, version management, and deployment coordination.
· Own application performance tuning and optimization.
· Own technical documentation, operational procedures, and knowledge transfer.
· Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams.
Required Qualifications
· Minimum 7 years of experience developing enterprise-scale distributed data processing applications.
· Strong hands-on development experience with Scala.
· Experience developing applications using Apache Spark 2.x and/or Spark 3.x.
· Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions.
· Experience with Apache Hive 3.x for data processing and Hive table management.
· Experience implementing business rules using the Drools Rules Engine.
· Strong SQL development and query optimization skills.
· Experience supporting Linux-based production environments.
· Experience troubleshooting distributed Spark applications in production.
· Experience using Git and modern version control practices.
Preferred Qualifications
· Medicaid or healthcare experience.
· Experience with Medicaid Encounter Processing.
· Experience with Cloudera Manager, HDFS, and YARN.
· Experience integrating with IBM DataStage.
· Familiarity with AWS infrastructure supporting Cloudera.
· Experience with Agile, Jira, and Confluence.
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