ironquill.tech/board

$ cat jobs/sr-streaming-engineer-ness-usa-inc-e0dd0c568f8b.json

Sr. Streaming Engineer

ness usa inc·US·United States·senior
javakafkarabbitmqkafka streamsspark
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Summary This role supports and works collaboratively with business analysts, team leads and development team. A contributor in developing scalable and resilient hybrid and Cloud-based data solutions supporting critical financial market clearing and risk activities; collaborate with other developers, architects and product owners to support enterprise transformation into a data-driven organization. The Specialist, Application Developer will be a team player and work well with business, technical and non-technical professionals in a project environment. Responsibilities Support the application development of big data application 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 • Assists 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 Supervisory Responsibilities • None Qualifications & Experience • [Required] 5+ year of experience in building high speed, data-centric solutions • [Required] Java 5+ years experience [Required] Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc • [Required] Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Kafka • [Required] Experience with cloud technolo

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