Position Title: Senior Confluent Kafka Lead / Python Developer
Location: Onsite Columbus OH or Nashville TN
Duration: 6 months
Job Description:
The Confluent Kafka Lead / Python Developer is responsible for designing building and operating enterprise-grade event streaming solutions using Confluent Kafka while developing Python-based producers consumers and streaming applications. This role blends deep hands on development with technical leadership ensuring scalable reliable and secure real-time data flows across distributed systems.
The position plays a key role in event-driven architecture (EDA) data platform modernization and real-time analytics initiatives.
Job location: Columbus OH or Nashville TN (both locations would be for on site work)
Required Qualifications:
Kafka & Streaming Experience
6 10 years of experience in software or data engineering.
4 years of hands-on experience with Apache Kafka and/or Confluent Platform.
Strong knowledge of: Kafka internals (brokers partitions offsets consumer groups) Schema Registry and schema evolution Kafka Connect architectures and connectors
Python Development
Strong proficiency in Python for backend and streaming development.
Experience building production-grade services using Python frameworks and libraries.
Familiarity with async processing multithreading or stream processing patterns is a plus.
Cloud & DevOps
Experience deploying Kafka and applications in cloud or hybrid environments (AWS Azure GCP).
CI/CD pipeline experience (GitHub Actions Jenkins GitLab Azure DevOps).
Infrastructure-as-Code experience (Terraform CloudFormation ARM/Bicep).
Containerization experience (Docker Kubernetes) preferred.
Preferred Qualifications:
Experience with ksqlDB Kafka Streams or stream processing frameworks (Flink Spark Streaming).
Exposure to event sourcing or CQRS patterns.
Integration of Kafka with data lakes warehouses and analytics platforms.
Confluent or cloud platform certifications.
Experience supporting high-throughput low-latency systems.
Soft Skills & Leadership:
Strong communication skills across engineering and stakeholder teams.
Ability to translate business use cases into event-driven technical solutions.
Comfortable acting as both hands-on developer and technical lead.
Experience influencing architecture and standards across teams.
Position Title: Senior Confluent Kafka Lead / Python Developer Location: Onsite Columbus OH or Nashville TN Duration: 6 months Job Description: The Confluent Kafka Lead / Python Developer is responsible for designing building and operating enterprise-grade event streaming solutions using Co...
Position Title: Senior Confluent Kafka Lead / Python Developer
Location: Onsite Columbus OH or Nashville TN
Duration: 6 months
Job Description:
The Confluent Kafka Lead / Python Developer is responsible for designing building and operating enterprise-grade event streaming solutions using Confluent Kafka while developing Python-based producers consumers and streaming applications. This role blends deep hands on development with technical leadership ensuring scalable reliable and secure real-time data flows across distributed systems.
The position plays a key role in event-driven architecture (EDA) data platform modernization and real-time analytics initiatives.
Job location: Columbus OH or Nashville TN (both locations would be for on site work)
Required Qualifications:
Kafka & Streaming Experience
6 10 years of experience in software or data engineering.
4 years of hands-on experience with Apache Kafka and/or Confluent Platform.
Strong knowledge of: Kafka internals (brokers partitions offsets consumer groups) Schema Registry and schema evolution Kafka Connect architectures and connectors
Python Development
Strong proficiency in Python for backend and streaming development.
Experience building production-grade services using Python frameworks and libraries.
Familiarity with async processing multithreading or stream processing patterns is a plus.
Cloud & DevOps
Experience deploying Kafka and applications in cloud or hybrid environments (AWS Azure GCP).
CI/CD pipeline experience (GitHub Actions Jenkins GitLab Azure DevOps).
Infrastructure-as-Code experience (Terraform CloudFormation ARM/Bicep).
Containerization experience (Docker Kubernetes) preferred.
Preferred Qualifications:
Experience with ksqlDB Kafka Streams or stream processing frameworks (Flink Spark Streaming).
Exposure to event sourcing or CQRS patterns.
Integration of Kafka with data lakes warehouses and analytics platforms.
Confluent or cloud platform certifications.
Experience supporting high-throughput low-latency systems.
Soft Skills & Leadership:
Strong communication skills across engineering and stakeholder teams.
Ability to translate business use cases into event-driven technical solutions.
Comfortable acting as both hands-on developer and technical lead.
Experience influencing architecture and standards across teams.
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