更新于 2月25日

Platform Data Engineer(英語流利,AWS)

2-3.5萬
  • 廣州天河區
  • 5-10年
  • 大專
  • 全職
  • 招1人

雇員點評標簽

  • 同事很nice
  • 工作環境好
  • 氛圍活躍
  • 準時發工資
  • 團隊執行強

職位描述

AWS云平臺工程師KafkaINFRAAWS
外資銀行項目,英語流利 Responsibilities ●Collaborate with our development, product, risk and security, legal and compliance teams in our fast-paced delivery environment. ●Accountable as System Owner and Asset Owner of data and Kafka platform. ●Build a modern, secure, efficient and cloud native database, data storage tier and Kafka platform with high resiliency and scalability. ●Administer and maintain a suitable controls framework that is aligned with industry practices and meets regulatory and compliance requirement. ●Perform regular assessments of the technology risk landscape, including self-identifying risks and proactively reporting these to Head of Platform. ●Oversee and administer the cost efficiency of data and Kafka platform. ●Maintain the data controls documentation. Make recommendations for improvement and ensure processes and procedures are reviewed and updated periodically. Required ●Bachelor’s degree in Business, Computer Science or any other relevant discipline and experience. ●Knowledge of technology best practices for building a modern Cloud-native platform. ●At minimum, 12 years’ experience in IT domain which key focus on database and messaging system management in a cloud environment. ●Knowledge in AWS or Cloud services like Glue, EMR, EC2, ELB, EFS, S3, Lambda, API Gateway, IAM, CloudWatch, DMS. ●Experience with AWS RDS, DynamoDB, Athena and Elasticache. ●Excellent practical knowledge with RDBMS, SQL and NoSQL databases, PostgreSQL is a must. ●Excellent knowledge of data sharding, schema and query performance optimisation, data structure tradeoffs, disaster recovery patterns and metrics. ●Excellent practical knowledge (topics, producers, consumers, brokers, commit log, partitions, failover, streams, transactions) building and operating a Kafka platform is highly desirable. ●Knowledge in other systems like RabbitMQ, AWS Kinesis, Airflow is a plus. ●Familiar with big data concepts, Hadoop, Spark. Experience in managing Data Lake is a plus. ●Strong knowledge in regulatory and compliance requirement, Data Governance and Data Security (certificate management, encryption method, network security strategy). ●CICD toolchain experience (GitHub, CircleCI, Artifactory, Spinnaker, ArgoCD, Ansible, SonarQube). ●Experience in Infrastructure, Configuration and Deployment as Code tools like Terraform and Ansible. ●Strong scripting skills in Python and Bash. ●Strong understanding and practice Agile/Lean projects SCRUM, KANBAN etc. ●Possess a curious mind set to analyse issues from different perspectives, recommend new, creative ways to solve problems.

工作地點

天河區廣州環貿中心(近3號線林和西站)

職位發布者

李女士/高級招聘專員

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