Sr. Streaming Engineer

Responsibilities

• Support the application development of big data applications for business requirements in agreed architecture framework and Agile environment
• Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation
• Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented
• Performs application and project risk analysis and recommends quality improvements
• Affords assistance to Production Support by providing advice on system functionality and fixes as required
• Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management
• Experience with resolving security vulnerabilities

Qualifications & Experience

• 5+ years of experience in building high speed, data-centric solutions
• 5+ years of experience with Java
• Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc
• Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
• Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc
• Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google
• Experience writing unit and integration tests with testing frameworks like Junit, Citrus
• Experience working with various types of databases like Relational, NoSQL, Object-based, Graph
• Experience following Git workflows
• Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc
• Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics