应用数据开发专家（远程）
Application Data Developer Expert - Remote
高级数据工程师 – 事件处理与数据平台
职位简介
高级数据工程师将作为主要技术负责人，负责内布拉斯加州企业级数据处理框架的持续维护、增强、运营支持和可靠性，该框架支持医疗补助事件处理和企业级数据采集。
这个关键平台处理供下游医疗补助系统和报告使用的提供者、成员、参考和事件数据。该应用框架使用 Scala、Apache Spark、Hive 和 Drools 开发，并在 Cloudera 数据平台（CDP）上运行。
在州政府从 Apache 开源 Hadoop 环境迁移到 Cloudera 数据平台后，该职位将负责维护生产代码库、实施业务和监管变更、支持生产运营、解决应用缺陷，并执行数据处理环境的常规运营管理。
该职位是该应用框架的主要技术负责人，需在完整的技术栈（包括 Scala、Apache Spark、Hive、Drools 和 Cloudera 数据平台）中保持足够的专业知识，以确保该关键系统的持续可靠性和运营连续性。
主要职责
- 负责支持医疗补助事件处理的 Scala/Spark 应用框架。
- 负责 Drools 业务规则的实现和持续规则维护。
- 负责主数据和源系统文件的企业级数据采集流程。
- 负责 Spark 和 Hive 批处理工作流。
- 负责生产问题调查和应用缺陷解决。
- 负责生产发布、版本管理和部署协调。
- 负责应用性能调优和优化。
- 负责技术文档、操作流程和知识传递。
- 提供 Cloudera 数据平台的基本运营管理与监控，并与基础设施和云运维团队协调。
任职要求
- 至少 7 年开发企业级分布式数据处理应用的经验。
- 具有扎实的 Scala 开发经验。
- 具有使用 Apache Spark 2.x 和/或 Spark 3.x 开发应用的经验。
- 具有在 Cloudera 数据平台（CDP）7.x 上开发和维护应用的经验。
查看英文原文
Senior Data Engineer – Encounter Processing & Data Platform
Job Summary
The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion.
This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP).
Following the State's migration from an Apache open-source Hadoop environment to Cloudera Data Platform, this position will assume primary responsibility for maintaining the production code base, implementing business and regulatory changes, supporting production operations, resolving application defects, and performing routine operational administration of the data processing environment.
This position serves as the single primary technical owner of the application framework and is expected to maintain sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure the ongoing reliability, maintainability, and operational continuity of this mission-critical system.
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.
Requirements
Type
Category
Qualification
Description
Competency
Required
Skills
Architecture
Cloudera Data
Advanced (7-9 Years)
Yes
Skills
Others
Distributed Data Processing
• Minimum 7 years of experience developing enterprise-scale distributed data processing applications.
Advanced (7-9 Years)
Yes
Skills
Others
Drools
Experience implementing business rules using the Drools Rules Engine
Proficient (4-6 Years)
Yes
Skills
Others
Scala
• Strong hands-on development experience with Scala.
Proficient (4-6 Years)
Yes
Skills
Others
SQL and Linux
• Strong SQL development and query optimization skills • Experience supporting Linux-based production environments
Yes
Skills
Others
Apache experience
•Experience developing applications using Apache Spark 2.x and/or Spark 3.x. •Experience with Apache Hive 3.x for data processing and Hive table management.
Proficient (4-6 Years)
Yes
Skills
Others
Cloudera
• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions
No
Originally posted on Himalayas