更新于 2月25日

Platform Data Engineer(英語流利,AWS)

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

雇員點評標(biāo)簽

  • 同事很nice
  • 工作環(huán)境好
  • 氛圍活躍
  • 準(zhǔn)時發(fā)工資
  • 團(tuán)隊執(zhí)行強(qiáng)

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

廣州環(huán)貿(mào)中心(近3號線林和西站)

職位發(fā)布者

李女士/高級招聘專員

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