Elite Technical is seeking a Cloudera Big Data Engineer with AWS Cloud experience to support our customer's Production Support Environment. Although primarily remote, monthly meetings occur in Reston VA and/or Washington DC. This is a 40 hour M-F position, however, as with all Production Support Environments, weekend releases and/or late night production troubleshooting efforts should be expected. Responsibilities include:
- Ensure Cloudera installation and configuration is at optimal specifications (CDP, CDSW, Hive, Spark, NiFi).
- Perform critical data migrations from CDH to CDP.
- Design and implement big data pipelines and automated data flows using Python/R and NiFi.
- Assist and provide expertise as it pertains to automating the entire project lifecycle.
- Perform incremental updates and upgrades to the Cloudera environment.
- Assist with new use cases (i.e., analytics/ML, data science, data ingest and processing), Infrastructure (including new cluster deployments, cluster migration, expansion, major upgrades, COOP/DR, and security).
- Assist in testing, governance, data quality, training, and documentation efforts.
- Move data and use YARN to allocate resources and schedule jobs.
- Manage job workflows with Oozie and Hue.
- Implement comprehensive security policies across the Hadoop cluster using Ranger.
- Configure and manage Cloudera Data Science Workbench using Cloudera Manager.
- Troubleshoot potential issues with Kerberos, TLS/SSL, Models, and Experiments, as well as other workload issues that data scientists might encounter once the application is running.
- Supporting the Big Data / Hadoop databases throughout the development and production lifecycle.
- Troubleshooting and resolving database integrity issues, performance issues, blocking and deadlocking issues, replication issues, log shipping issues, connectivity issues, security issues, performance tuning, query optimization, using monitoring and troubleshooting tools.
- Create, test, and implement scripting for automation support.
- Experience in working with Kafka ecosystem (Kafka Brokers, Connect, Zookeeper) in production is ideal
- Implement and support streaming technologies such as Kafka, Spark & Kudu
- 8+ years Experience in Supporting Cloudera Applications running in AWS Cloud
- Experience in Supporting Cloud Applications with Mongo DB
- Experience in Cloud Disaster Recovery
- Apache Kafka - strong Administration & troubleshooting skills
Kafka Streams API stream processing with KStreams & Ktables
- Kafka integration with MQ
- Kafka broker management
- Topic/ offset management
- Apache Nifi - Administration
- Flow management, registry server, management controller, service management
- Nifi to kafka /Hbase /solr integration
- Flume - integration with Kafka, Nifi & IBM MQ
- Hbase - administration database management troubleshooting
- Solr - administration managing Logging level managing shards & high availability
Hybrid/Reston, VA
1
Monday, December 1, 2025
Contract
12 month (Poss T2P)
Monday, November 10, 2025
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