What are the responsibilities and job description for the Python Developer position at Jobs via Dice?
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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:
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, Google Cloud Platform).
CI/CD pipeline experience (GitHub Actions, Jenkins, GitLab, Azure DevOps).
Infrastructure-as-Code experience (Terraform, CloudFormation, ARM/Bicep).
Preferred Qualifications
Containerization experience (Docker, Kubernetes) preferred.
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.
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
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, Google Cloud Platform).
CI/CD pipeline experience (GitHub Actions, Jenkins, GitLab, Azure DevOps).
Infrastructure-as-Code experience (Terraform, CloudFormation, ARM/Bicep).
Preferred Qualifications
Containerization experience (Docker, Kubernetes) preferred.
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.