We are seeking a highly skilled and experienced Event/Streaming Specialist with expertise in AWS Managed Streaming for Apache Kafka (MSK) to join our engineering team. In this role, you will be responsible for designing, implementing, and managing our event-driven architectures and real-time streaming solutions using AWS MSK. Your work will be pivotal in enabling our systems to process large-scale data streams efficiently, ensuring high availability, scalability, and reliability.
Requirements
Responsibilities:
AWS MSK Management:
Design, implement, and maintain streaming solutions using AWS Managed Streaming for Apache Kafka (MSK)
Monitor and manage Kafka clusters to ensure optimal performance, scalability, and uptime
Configure and fine-tune MSK clusters, including partitioning strategies, replication, and retention policies
Event-Driven Architecture:
Collaborate with our engineering teams to design and implement event-driven systems and microservices architectures
Develop and maintain robust data pipelines to process and stream data in real-time using Kafka.
Ensure seamless integration between MSK/SQS/SNS and other AWS services such as Lambda, EventBridge Pipes, S3
Performance Optimization:
Analyze and optimize the performance of Kafka clusters and streaming pipelines to meet high-throughput and low-latency requirements
Implement best practices for Kafka topic design, consumer group management, and message serialization (e.g., Avro)
Security and Compliance:
Implement security best practices for MSK, including encryption, authentication, and access controls
Ensure compliance with industry standards and regulations related to data streaming and event processing
Monitoring and Troubleshooting:
Set up comprehensive monitoring and alerting for Kafka clusters and streaming applications using AWS CloudWatch and Datadog
Troubleshoot and resolve issues related to data loss, message lag, and streaming failures
Data Integration and ETL:
Design and implement data integration solutions to stream data between various sources and targets using MSK
Lead data transformation and enrichment processes to ensure data quality and consistency in streaming applications
Benefits
Must have skills:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
Minimum of 5 years of experience in event-driven architectures and streaming solutions
Proven experience with Apache Kafka, with at least 2 years specifically in AWS MSK
Experience in designing and implementing high-throughput, low-latency streaming applications in AWS environments
Strong understanding of Kafka internals, including partitions, brokers, consumer groups, and message serialization formats
Proficiency in programming languages such as Java, Python, or Scala for building streaming applications
Experience with AWS services like Lambda, Kinesis, S3, and IAM in conjunction with MSK
Familiarity with CI/CD tools and practices, as well as IaC tools like CloudFormation, Terraform, or CDK
Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving issues
Excellent communication and collaboration skills, with the ability to work effectively across teams
Nice to have skills
AWS Certified Solutions Architect, AWS Certified Developer, or similar AWS certificatrion
Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving issues
Excellent communication and collaboration skills, with the ability to work effectively across teams
Ability to manage multiple priorities and projects in a fast-paced environment
Diag tự hào là Trung Tâm Xét Nghiệm và Chẩn Đoán Y Khoa hàng đầu Việt Nam và là đối tác đáng tin cậy của các bác sĩ, phòng khám, bệnh viện và cho nhu cầu chăm sóc sức khỏe nhân viên của các doanh nghiệp. Diag được thành lập vào năm 1998 bởi các nhà sinh học – bác sĩ người Pháp, là Trung Tâm Xét Nghiệm chuẩn quốc tế với vốn đầu tư nước ngoài đầu tiên và lâu đời nhất ở Việt Nam, với sứ mệnh nâng tầm xét nghiệm y khoa cho người dân nơi đây. Chúng tôi vẫn cam kết với tầm nhìn này cho đến ngày hôm nay. Diag hướng đến mục tiêu mang đến chẩn đoán y khoa chất lượng vượt trội cùng công nghệ cải tiến vượt bậc, góp phần vào công cuộc chăm sóc sức khỏe cho người dân Việt Nam.