HW3

Confluent Kafka Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Confluent Kafka Engineer in Dallas, TX, lasting 12+ months, with a pay rate of "unknown." Key skills include Apache Kafka, Java, and telecom industry experience. Certifications in Confluent or Apache Kafka are preferred.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
-
๐Ÿ’ฐ - Day rate
Unknown
-
๐Ÿ—“๏ธ - Date
July 31, 2026
๐Ÿ•’ - Duration
More than 6 months
-
๐Ÿ๏ธ - Location
On-site
-
๐Ÿ“„ - Contract
Unknown
-
๐Ÿ”’ - Security
Unknown
-
๐Ÿ“ - Location detailed
Dallas, TX
-
๐Ÿง  - Skills detailed
#Apache Kafka #GCP (Google Cloud Platform) #Spark (Apache Spark) #Python #Kubernetes #Azure #Cloud #Microservices #Kafka (Apache Kafka) #AWS (Amazon Web Services) #Java #CRM (Customer Relationship Management) #Monitoring #Scala
Role description
Confluent Kafka Engineer Location: Dallas, TX (Onsite) Duration: 12+ Months We are looking for an experienced Confluent Kafka Engineer to join our team and help design, build, and optimize scalable, real-time streaming solutions. Required Skills: โ€ข Strong expertise in Apache Kafka, Confluent Platform, Kafka Producers/Consumers, Kafka Connect, Schema Registry, Kafka Streams, and ksqlDB. โ€ข Proficiency in Java (preferred), Python, or Scala, with experience deploying Kafka on Confluent Cloud, Kubernetes/OpenShift, and cloud platforms such as AWS, Azure, or GCP. โ€ข Hands-on experience with Kafka monitoring, troubleshooting, performance tuning, and implementing secure streaming using SSL/TLS, SASL authentication, and RBAC. โ€ข Telecom industry experience working with OSS/BSS, CRM, Billing, CDRs, Network Events (4G/5G), and real-time data streaming pipelines. โ€ข Strong understanding of event-driven architectures and building scalable, high-performance streaming solutions. Key Responsibilities: โ€ข Build and manage real-time streaming pipelines using Kafka. โ€ข Integrate Kafka with telecom systems, including OSS/BSS, CRM, and billing platforms. โ€ข Monitor, troubleshoot, and optimize Kafka environments to ensure high availability and performance. โ€ข Deliver scalable, low-latency streaming solutions that support mission-critical telecom operations. Preferred Qualifications: โ€ข Experience with Apache Flink or Spark Streaming. โ€ข Knowledge of microservices architecture. โ€ข Confluent or Apache Kafka certifications. If you're interested in this opportunity, or know someone who would be a great fit, please send your updated resume. We look forward to connecting with you.