Kubernetes
Python- 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
- Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- 5+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
Responsibilities
- Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
- Create custom Operators for Kubernetes, Kubeflow
- Develop data ingestion processes and ETLs
- Assist in dev ops operations
- Design and Implement APIs
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
Shubham Vishwakarma
Full Stack Developer - Averlon
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Contact at triple eight two zero nine four two double seven
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Full Stack Developer - Averlon