Cloudera Admin
Posted 6 hours 13 minutes ago by Intuition IT Solutions Ltd
Contract
Not Specified
Other
London, United Kingdom
Job Description
- Design and automate the deployment of Cloudera CDP components (Data Lake, Data Hubs, Data Services) using Terraform.
- Build and maintain CI/CD pipelines using GitHub Actions for infrastructure and data pipeline automation
- Collaborate with data engineering teams to integrate CDP with existing Big Data workflows.
- Write and maintain automation scripts using Shell and Python.
- Manage infrastructure and configuration using YAML and JSON.
- Configuring and tuning Cloudera services for performance and security.
- Ensure secure, scalable, and cost-effective deployments on cloud platforms (AWS, Azure, or GCP).
- An understanding of all the Hadoop daemons along with their roles and responsibilities in the cluster.
- Should be able to troubleshoot issues in Cloudera services and fix those.
- Adding and removing nodes in the cluster.
- Rebalancing nodes in the cluster.
- Employ security using an authentication and authorization system such as Kerberos.
- Knowledge of changes required for migrating to Cloudera cloud version CDP
- Knowledge of Cloudera data services (CDW, CDE, CDF, CAI)
- Design Native Cloud Application Architectures and optimize applications for AWS
- Network connectivity, Direct Connect, VPN, VPC, Security group, NACL, Route 53
- Must have in depth AWS development experience (Containerization - Glue, Docker, Amazon EKS, Lambda, EC2, S3, Amazon DocumentDB, PostgreSQL)
- Strong knowledge of DevOps and CI/CD pipeline (GitHub, Jenkins)
- Scripting capability and the ability to develop AWS environments as code
- Hands-on AWS experience with at least 1 implementation (preferred in an Enterprise scale environment)
- Experience with core AWS platform architecture, including areas such as: Organizations, Account Design, VPC, Subnet, segmentation strategies.
- Environment and application automation
- CloudFormation and third-party automation approach/strategy
- AWS Cost Management and Optimization
Hybrid: 2/3 days onsite in London/week